diff --git a/src/ImageSharp/Processing/Extensions/Convolution/DetectEdgesExtensions.cs b/src/ImageSharp/Processing/Extensions/Convolution/DetectEdgesExtensions.cs
index f30d8ad57..2377151bb 100644
--- a/src/ImageSharp/Processing/Extensions/Convolution/DetectEdgesExtensions.cs
+++ b/src/ImageSharp/Processing/Extensions/Convolution/DetectEdgesExtensions.cs
@@ -1,7 +1,6 @@
 // Copyright (c) Six Labors.
 // Licensed under the Apache License, Version 2.0.
 
-using SixLabors.ImageSharp.Processing.Processors;
 using SixLabors.ImageSharp.Processing.Processors.Convolution;
 
 namespace SixLabors.ImageSharp.Processing
@@ -12,144 +11,230 @@ namespace SixLabors.ImageSharp.Processing
     public static class DetectEdgesExtensions
     {
         /// <summary>
-        /// Detects any edges within the image. Uses the <see cref="SobelProcessor"/> filter
-        /// operating in grayscale mode.
+        /// Detects any edges within the image.
+        /// Uses the <see cref="KnownEdgeDetectorKernels.Sobel"/> kernel operating in grayscale mode.
         /// </summary>
         /// <param name="source">The image this method extends.</param>
         /// <returns>The <see cref="IImageProcessingContext"/> to allow chaining of operations.</returns>
         public static IImageProcessingContext DetectEdges(this IImageProcessingContext source) =>
-            DetectEdges(source, new SobelProcessor(true));
+            DetectEdges(source, KnownEdgeDetectorKernels.Sobel);
 
         /// <summary>
-        /// Detects any edges within the image. Uses the <see cref="SobelProcessor"/> filter
-        /// operating in grayscale mode.
+        /// Detects any edges within the image.
+        /// Uses the <see cref="KnownEdgeDetectorKernels.Sobel"/> kernel operating in grayscale mode.
         /// </summary>
         /// <param name="source">The image this method extends.</param>
         /// <param name="rectangle">
         /// The <see cref="Rectangle"/> structure that specifies the portion of the image object to alter.
         /// </param>
         /// <returns>The <see cref="IImageProcessingContext"/> to allow chaining of operations.</returns>
-        public static IImageProcessingContext DetectEdges(this IImageProcessingContext source, Rectangle rectangle) =>
-            DetectEdges(source, rectangle, new SobelProcessor(true));
+        public static IImageProcessingContext DetectEdges(
+            this IImageProcessingContext source,
+            Rectangle rectangle) =>
+            DetectEdges(source, KnownEdgeDetectorKernels.Sobel, rectangle);
 
         /// <summary>
-        /// Detects any edges within the image.
+        /// Detects any edges within the image operating in grayscale mode.
         /// </summary>
         /// <param name="source">The image this method extends.</param>
-        /// <param name="filter">The filter for detecting edges.</param>
+        /// <param name="kernel">The 2D edge detector kernel.</param>
         /// <returns>The <see cref="IImageProcessingContext"/> to allow chaining of operations.</returns>
         public static IImageProcessingContext DetectEdges(
             this IImageProcessingContext source,
-            KnownEdgeDetectionOperators filter) =>
-            DetectEdges(source, GetProcessor(filter, true));
+            EdgeDetector2DKernel kernel) =>
+            DetectEdges(source, kernel, true);
 
         /// <summary>
-        /// Detects any edges within the image.
+        /// Detects any edges within the image using a <see cref="EdgeDetector2DKernel"/>.
         /// </summary>
         /// <param name="source">The image this method extends.</param>
-        /// <param name="filter">The filter for detecting edges.</param>
-        /// <param name="grayscale">Whether to convert the image to grayscale first. Defaults to true.</param>
+        /// <param name="kernel">The 2D edge detector kernel.</param>
+        /// <param name="grayscale">
+        /// Whether to convert the image to grayscale before performing edge detection.
+        /// </param>
         /// <returns>The <see cref="IImageProcessingContext"/> to allow chaining of operations.</returns>
         public static IImageProcessingContext DetectEdges(
             this IImageProcessingContext source,
-            KnownEdgeDetectionOperators filter,
-            bool grayscale) =>
-            DetectEdges(source, GetProcessor(filter, grayscale));
+            EdgeDetector2DKernel kernel,
+            bool grayscale)
+        {
+            var processor = new EdgeDetector2DProcessor(kernel, grayscale);
+            source.ApplyProcessor(processor);
+            return source;
+        }
 
         /// <summary>
-        /// Detects any edges within the image.
+        /// Detects any edges within the image operating in grayscale mode.
         /// </summary>
         /// <param name="source">The image this method extends.</param>
-        /// <param name="filter">The filter for detecting edges.</param>
+        /// <param name="kernel">The 2D edge detector kernel.</param>
         /// <param name="rectangle">
         /// The <see cref="Rectangle"/> structure that specifies the portion of the image object to alter.
         /// </param>
-        /// <param name="grayscale">Whether to convert the image to grayscale first. Defaults to true.</param>
         /// <returns>The <see cref="IImageProcessingContext"/> to allow chaining of operations.</returns>
         public static IImageProcessingContext DetectEdges(
             this IImageProcessingContext source,
-            KnownEdgeDetectionOperators filter,
-            Rectangle rectangle,
-            bool grayscale = true) =>
-            DetectEdges(source, rectangle, GetProcessor(filter, grayscale));
+            EdgeDetector2DKernel kernel,
+            Rectangle rectangle) =>
+            DetectEdges(source, kernel, true, rectangle);
 
         /// <summary>
-        /// Detects any edges within the image.
+        /// Detects any edges within the image using a <see cref="EdgeDetector2DKernel"/>.
         /// </summary>
         /// <param name="source">The image this method extends.</param>
-        /// <param name="filter">The filter for detecting edges.</param>
+        /// <param name="kernel">The 2D edge detector kernel.</param>
+        /// <param name="grayscale">
+        /// Whether to convert the image to grayscale before performing edge detection.
+        /// </param>
+        /// <param name="rectangle">
+        /// The <see cref="Rectangle"/> structure that specifies the portion of the image object to alter.
+        /// </param>
         /// <returns>The <see cref="IImageProcessingContext"/> to allow chaining of operations.</returns>
-        private static IImageProcessingContext DetectEdges(this IImageProcessingContext source, IImageProcessor filter)
+        public static IImageProcessingContext DetectEdges(
+            this IImageProcessingContext source,
+            EdgeDetector2DKernel kernel,
+            bool grayscale,
+            Rectangle rectangle)
         {
-            return source.ApplyProcessor(filter);
+            var processor = new EdgeDetector2DProcessor(kernel, grayscale);
+            source.ApplyProcessor(processor, rectangle);
+            return source;
         }
 
         /// <summary>
-        /// Detects any edges within the image.
+        /// Detects any edges within the image operating in grayscale mode.
         /// </summary>
         /// <param name="source">The image this method extends.</param>
-        /// <param name="rectangle">
-        /// The <see cref="Rectangle"/> structure that specifies the portion of the image object to alter.
+        /// <param name="kernel">The edge detector kernel.</param>
+        /// <returns>The <see cref="IImageProcessingContext"/> to allow chaining of operations.</returns>
+        public static IImageProcessingContext DetectEdges(
+            this IImageProcessingContext source,
+            EdgeDetectorKernel kernel) =>
+            DetectEdges(source, kernel, true);
+
+        /// <summary>
+        /// Detects any edges within the image using a <see cref="EdgeDetectorKernel"/>.
+        /// </summary>
+        /// <param name="source">The image this method extends.</param>
+        /// <param name="kernel">The edge detector kernel.</param>
+        /// <param name="grayscale">
+        /// Whether to convert the image to grayscale before performing edge detection.
         /// </param>
-        /// <param name="filter">The filter for detecting edges.</param>
         /// <returns>The <see cref="IImageProcessingContext"/> to allow chaining of operations.</returns>
-        private static IImageProcessingContext DetectEdges(
+        public static IImageProcessingContext DetectEdges(
             this IImageProcessingContext source,
-            Rectangle rectangle,
-            IImageProcessor filter)
+            EdgeDetectorKernel kernel,
+            bool grayscale)
         {
-            source.ApplyProcessor(filter, rectangle);
+            var processor = new EdgeDetectorProcessor(kernel, grayscale);
+            source.ApplyProcessor(processor);
             return source;
         }
 
-        private static IImageProcessor GetProcessor(KnownEdgeDetectionOperators filter, bool grayscale)
-        {
-            IImageProcessor processor;
-
-            switch (filter)
-            {
-                case KnownEdgeDetectionOperators.Kayyali:
-                    processor = new KayyaliProcessor(grayscale);
-                    break;
-
-                case KnownEdgeDetectionOperators.Kirsch:
-                    processor = new KirschProcessor(grayscale);
-                    break;
-
-                case KnownEdgeDetectionOperators.Laplacian3x3:
-                    processor = new Laplacian3x3Processor(grayscale);
-                    break;
-
-                case KnownEdgeDetectionOperators.Laplacian5x5:
-                    processor = new Laplacian5x5Processor(grayscale);
-                    break;
-
-                case KnownEdgeDetectionOperators.LaplacianOfGaussian:
-                    processor = new LaplacianOfGaussianProcessor(grayscale);
-                    break;
-
-                case KnownEdgeDetectionOperators.Prewitt:
-                    processor = new PrewittProcessor(grayscale);
-                    break;
+        /// <summary>
+        /// Detects any edges within the image operating in grayscale mode.
+        /// </summary>
+        /// <param name="source">The image this method extends.</param>
+        /// <param name="kernel">The edge detector kernel.</param>
+        /// <param name="rectangle">
+        /// The <see cref="Rectangle"/> structure that specifies the portion of the image object to alter.
+        /// </param>
+        /// <returns>The <see cref="IImageProcessingContext"/> to allow chaining of operations.</returns>
+        public static IImageProcessingContext DetectEdges(
+            this IImageProcessingContext source,
+            EdgeDetectorKernel kernel,
+            Rectangle rectangle) =>
+            DetectEdges(source, kernel, true, rectangle);
 
-                case KnownEdgeDetectionOperators.RobertsCross:
-                    processor = new RobertsCrossProcessor(grayscale);
-                    break;
+        /// <summary>
+        /// Detects any edges within the image using a <see cref="EdgeDetectorKernel"/>.
+        /// </summary>
+        /// <param name="source">The image this method extends.</param>
+        /// <param name="kernel">The edge detector kernel.</param>
+        /// <param name="grayscale">
+        /// Whether to convert the image to grayscale before performing edge detection.
+        /// </param>
+        /// <param name="rectangle">
+        /// The <see cref="Rectangle"/> structure that specifies the portion of the image object to alter.
+        /// </param>
+        /// <returns>The <see cref="IImageProcessingContext"/> to allow chaining of operations.</returns>
+        public static IImageProcessingContext DetectEdges(
+            this IImageProcessingContext source,
+            EdgeDetectorKernel kernel,
+            bool grayscale,
+            Rectangle rectangle)
+        {
+            var processor = new EdgeDetectorProcessor(kernel, grayscale);
+            source.ApplyProcessor(processor, rectangle);
+            return source;
+        }
 
-                case KnownEdgeDetectionOperators.Robinson:
-                    processor = new RobinsonProcessor(grayscale);
-                    break;
+        /// <summary>
+        /// Detects any edges within the image operating in grayscale mode.
+        /// </summary>
+        /// <param name="source">The image this method extends.</param>
+        /// <param name="kernel">Thecompass edge detector kernel.</param>
+        /// <returns>The <see cref="IImageProcessingContext"/> to allow chaining of operations.</returns>
+        public static IImageProcessingContext DetectEdges(
+            this IImageProcessingContext source,
+            EdgeDetectorCompassKernel kernel) =>
+            DetectEdges(source, kernel, true);
 
-                case KnownEdgeDetectionOperators.Scharr:
-                    processor = new ScharrProcessor(grayscale);
-                    break;
+        /// <summary>
+        /// Detects any edges within the image using a <see cref="EdgeDetectorCompassKernel"/>.
+        /// </summary>
+        /// <param name="source">The image this method extends.</param>
+        /// <param name="kernel">Thecompass edge detector kernel.</param>
+        /// <param name="grayscale">
+        /// Whether to convert the image to grayscale before performing edge detection.
+        /// </param>
+        /// <returns>The <see cref="IImageProcessingContext"/> to allow chaining of operations.</returns>
+        public static IImageProcessingContext DetectEdges(
+            this IImageProcessingContext source,
+            EdgeDetectorCompassKernel kernel,
+            bool grayscale)
+        {
+            var processor = new EdgeDetectorCompassProcessor(kernel, grayscale);
+            source.ApplyProcessor(processor);
+            return source;
+        }
 
-                default:
-                    processor = new SobelProcessor(grayscale);
-                    break;
-            }
+        /// <summary>
+        /// Detects any edges within the image operating in grayscale mode.
+        /// </summary>
+        /// <param name="source">The image this method extends.</param>
+        /// <param name="kernel">Thecompass edge detector kernel.</param>
+        /// <param name="rectangle">
+        /// The <see cref="Rectangle"/> structure that specifies the portion of the image object to alter.
+        /// </param>
+        /// <returns>The <see cref="IImageProcessingContext"/> to allow chaining of operations.</returns>
+        public static IImageProcessingContext DetectEdges(
+            this IImageProcessingContext source,
+            EdgeDetectorCompassKernel kernel,
+            Rectangle rectangle) =>
+            DetectEdges(source, kernel, true, rectangle);
 
-            return processor;
+        /// <summary>
+        /// Detects any edges within the image using a <see cref="EdgeDetectorCompassKernel"/>.
+        /// </summary>
+        /// <param name="source">The image this method extends.</param>
+        /// <param name="kernel">Thecompass edge detector kernel.</param>
+        /// <param name="grayscale">
+        /// Whether to convert the image to grayscale before performing edge detection.
+        /// </param>
+        /// <param name="rectangle">
+        /// The <see cref="Rectangle"/> structure that specifies the portion of the image object to alter.
+        /// </param>
+        /// <returns>The <see cref="IImageProcessingContext"/> to allow chaining of operations.</returns>
+        public static IImageProcessingContext DetectEdges(
+            this IImageProcessingContext source,
+            EdgeDetectorCompassKernel kernel,
+            bool grayscale,
+            Rectangle rectangle)
+        {
+            var processor = new EdgeDetectorCompassProcessor(kernel, grayscale);
+            source.ApplyProcessor(processor, rectangle);
+            return source;
         }
     }
 }
diff --git a/src/ImageSharp/Processing/KnownEdgeDetectionOperators.cs b/src/ImageSharp/Processing/KnownEdgeDetectorKernels.cs
similarity index 97%
rename from src/ImageSharp/Processing/KnownEdgeDetectionOperators.cs
rename to src/ImageSharp/Processing/KnownEdgeDetectorKernels.cs
index e41fb00ce..2e279d340 100644
--- a/src/ImageSharp/Processing/KnownEdgeDetectionOperators.cs
+++ b/src/ImageSharp/Processing/KnownEdgeDetectorKernels.cs
@@ -8,7 +8,7 @@ namespace SixLabors.ImageSharp.Processing
     /// <summary>
     /// Contains reusable static instances of known edge detection kernels.
     /// </summary>
-    public static class KnownEdgeDetectionOperators
+    public static class KnownEdgeDetectorKernels
     {
         /// <summary>
         /// Gets the Kayyali edge detector kernel.
diff --git a/src/ImageSharp/Processing/Processors/Transforms/EntropyCropProcessor{TPixel}.cs b/src/ImageSharp/Processing/Processors/Transforms/EntropyCropProcessor{TPixel}.cs
index ebc8f0e4f..dd9c06938 100644
--- a/src/ImageSharp/Processing/Processors/Transforms/EntropyCropProcessor{TPixel}.cs
+++ b/src/ImageSharp/Processing/Processors/Transforms/EntropyCropProcessor{TPixel}.cs
@@ -42,7 +42,7 @@ namespace SixLabors.ImageSharp.Processing.Processors.Transforms
                 Configuration configuration = this.Source.GetConfiguration();
 
                 // Detect the edges.
-                new SobelProcessor(false).Execute(this.Configuration, temp, this.SourceRectangle);
+                new EdgeDetector2DProcessor(KnownEdgeDetectorKernels.Sobel, false).Execute(this.Configuration, temp, this.SourceRectangle);
 
                 // Apply threshold binarization filter.
                 new BinaryThresholdProcessor(this.definition.Threshold).Execute(this.Configuration, temp, this.SourceRectangle);
diff --git a/tests/ImageSharp.Benchmarks/Samplers/DetectEdges.cs b/tests/ImageSharp.Benchmarks/Samplers/DetectEdges.cs
index cf46c4f52..ce2fa988c 100644
--- a/tests/ImageSharp.Benchmarks/Samplers/DetectEdges.cs
+++ b/tests/ImageSharp.Benchmarks/Samplers/DetectEdges.cs
@@ -37,17 +37,17 @@ namespace SixLabors.ImageSharp.Benchmarks
         [Benchmark(Description = "ImageSharp DetectEdges")]
         public void ImageProcessorCoreDetectEdges()
         {
-            this.image.Mutate(x => x.DetectEdges(KnownEdgeDetectionOperators.Kayyali));
-            this.image.Mutate(x => x.DetectEdges(KnownEdgeDetectionOperators.Kayyali));
-            this.image.Mutate(x => x.DetectEdges(KnownEdgeDetectionOperators.Kirsch));
-            this.image.Mutate(x => x.DetectEdges(KnownEdgeDetectionOperators.Laplacian3x3));
-            this.image.Mutate(x => x.DetectEdges(KnownEdgeDetectionOperators.Laplacian5x5));
-            this.image.Mutate(x => x.DetectEdges(KnownEdgeDetectionOperators.LaplacianOfGaussian));
-            this.image.Mutate(x => x.DetectEdges(KnownEdgeDetectionOperators.Prewitt));
-            this.image.Mutate(x => x.DetectEdges(KnownEdgeDetectionOperators.RobertsCross));
-            this.image.Mutate(x => x.DetectEdges(KnownEdgeDetectionOperators.Robinson));
-            this.image.Mutate(x => x.DetectEdges(KnownEdgeDetectionOperators.Scharr));
-            this.image.Mutate(x => x.DetectEdges(KnownEdgeDetectionOperators.Sobel));
+            this.image.Mutate(x => x.DetectEdges(KnownEdgeDetectorKernels.Kayyali));
+            this.image.Mutate(x => x.DetectEdges(KnownEdgeDetectorKernels.Kayyali));
+            this.image.Mutate(x => x.DetectEdges(KnownEdgeDetectorKernels.Kirsch));
+            this.image.Mutate(x => x.DetectEdges(KnownEdgeDetectorKernels.Laplacian3x3));
+            this.image.Mutate(x => x.DetectEdges(KnownEdgeDetectorKernels.Laplacian5x5));
+            this.image.Mutate(x => x.DetectEdges(KnownEdgeDetectorKernels.LaplacianOfGaussian));
+            this.image.Mutate(x => x.DetectEdges(KnownEdgeDetectorKernels.Prewitt));
+            this.image.Mutate(x => x.DetectEdges(KnownEdgeDetectorKernels.RobertsCross));
+            this.image.Mutate(x => x.DetectEdges(KnownEdgeDetectorKernels.Robinson));
+            this.image.Mutate(x => x.DetectEdges(KnownEdgeDetectorKernels.Scharr));
+            this.image.Mutate(x => x.DetectEdges(KnownEdgeDetectorKernels.Sobel));
         }
     }
 }
diff --git a/tests/ImageSharp.Tests/Processing/Convolution/DetectEdgesTest.cs b/tests/ImageSharp.Tests/Processing/Convolution/DetectEdgesTest.cs
index fd41a04e2..e14ab748f 100644
--- a/tests/ImageSharp.Tests/Processing/Convolution/DetectEdgesTest.cs
+++ b/tests/ImageSharp.Tests/Processing/Convolution/DetectEdgesTest.cs
@@ -1,12 +1,8 @@
 // Copyright (c) Six Labors.
 // Licensed under the Apache License, Version 2.0.
 
-using System.Collections.Generic;
-
 using SixLabors.ImageSharp.Processing;
 using SixLabors.ImageSharp.Processing.Processors.Convolution;
-using SixLabors.ImageSharp.Tests.TestUtilities;
-
 using Xunit;
 
 namespace SixLabors.ImageSharp.Tests.Processing.Convolution
@@ -14,62 +10,190 @@ namespace SixLabors.ImageSharp.Tests.Processing.Convolution
     public class DetectEdgesTest : BaseImageOperationsExtensionTest
     {
         [Fact]
-        public void DetectEdges_SobelProcessorDefaultsSet()
+        public void DetectEdges_EdgeDetector2DProcessorDefaultsSet()
         {
             this.operations.DetectEdges();
+            EdgeDetector2DProcessor processor = this.Verify<EdgeDetector2DProcessor>();
 
-            // TODO: Enable once we have updated the images
-            SobelProcessor processor = this.Verify<SobelProcessor>();
             Assert.True(processor.Grayscale);
+            Assert.Equal(KnownEdgeDetectorKernels.Sobel, processor.Kernel);
         }
 
         [Fact]
-        public void DetectEdges_Rect_SobelProcessorDefaultsSet()
+        public void DetectEdges_Rect_EdgeDetector2DProcessorDefaultsSet()
         {
             this.operations.DetectEdges(this.rect);
+            EdgeDetector2DProcessor processor = this.Verify<EdgeDetector2DProcessor>(this.rect);
+
+            Assert.True(processor.Grayscale);
+            Assert.Equal(KnownEdgeDetectorKernels.Sobel, processor.Kernel);
+        }
+
+        public static TheoryData<EdgeDetector2DKernel, bool> EdgeDetector2DKernelData =
+            new TheoryData<EdgeDetector2DKernel, bool>
+            {
+                { KnownEdgeDetectorKernels.Kayyali, true },
+                { KnownEdgeDetectorKernels.Kayyali, false },
+                { KnownEdgeDetectorKernels.Prewitt, true },
+                { KnownEdgeDetectorKernels.Prewitt, false },
+                { KnownEdgeDetectorKernels.RobertsCross, true },
+                { KnownEdgeDetectorKernels.RobertsCross, false },
+                { KnownEdgeDetectorKernels.Scharr, true },
+                { KnownEdgeDetectorKernels.Scharr, false },
+                { KnownEdgeDetectorKernels.Sobel, true },
+                { KnownEdgeDetectorKernels.Sobel, false },
+            };
+
+        [Theory]
+        [MemberData(nameof(EdgeDetector2DKernelData))]
+        public void DetectEdges_EdgeDetector2DProcessor_DefaultGrayScale_Set(EdgeDetector2DKernel kernel, bool _)
+        {
+            this.operations.DetectEdges(kernel);
+            EdgeDetector2DProcessor processor = this.Verify<EdgeDetector2DProcessor>();
+
+            Assert.True(processor.Grayscale);
+            Assert.Equal(kernel, processor.Kernel);
+        }
+
+        [Theory]
+        [MemberData(nameof(EdgeDetector2DKernelData))]
+        public void DetectEdges_Rect_EdgeDetector2DProcessor_DefaultGrayScale_Set(EdgeDetector2DKernel kernel, bool _)
+        {
+            this.operations.DetectEdges(kernel, this.rect);
+            EdgeDetector2DProcessor processor = this.Verify<EdgeDetector2DProcessor>(this.rect);
+
+            Assert.True(processor.Grayscale);
+            Assert.Equal(kernel, processor.Kernel);
+        }
+
+        [Theory]
+        [MemberData(nameof(EdgeDetector2DKernelData))]
+        public void DetectEdges_EdgeDetector2DProcessorSet(EdgeDetector2DKernel kernel, bool grayscale)
+        {
+            this.operations.DetectEdges(kernel, grayscale);
+            EdgeDetector2DProcessor processor = this.Verify<EdgeDetector2DProcessor>();
+
+            Assert.Equal(grayscale, processor.Grayscale);
+            Assert.Equal(kernel, processor.Kernel);
+        }
+
+        [Theory]
+        [MemberData(nameof(EdgeDetector2DKernelData))]
+        public void DetectEdges_Rect_EdgeDetector2DProcessorSet(EdgeDetector2DKernel kernel, bool grayscale)
+        {
+            this.operations.DetectEdges(kernel, grayscale, this.rect);
+            EdgeDetector2DProcessor processor = this.Verify<EdgeDetector2DProcessor>(this.rect);
+
+            Assert.Equal(grayscale, processor.Grayscale);
+            Assert.Equal(kernel, processor.Kernel);
+        }
+
+        public static TheoryData<EdgeDetectorKernel, bool> EdgeDetectorKernelData =
+            new TheoryData<EdgeDetectorKernel, bool>
+            {
+                { KnownEdgeDetectorKernels.Laplacian3x3, true },
+                { KnownEdgeDetectorKernels.Laplacian3x3, false },
+                { KnownEdgeDetectorKernels.Laplacian5x5, true },
+                { KnownEdgeDetectorKernels.Laplacian5x5, false },
+                { KnownEdgeDetectorKernels.LaplacianOfGaussian, true },
+                { KnownEdgeDetectorKernels.LaplacianOfGaussian, false },
+            };
+
+        [Theory]
+        [MemberData(nameof(EdgeDetectorKernelData))]
+        public void DetectEdges_EdgeDetectorProcessor_DefaultGrayScale_Set(EdgeDetectorKernel kernel, bool _)
+        {
+            this.operations.DetectEdges(kernel);
+            EdgeDetectorProcessor processor = this.Verify<EdgeDetectorProcessor>();
 
-            // TODO: Enable once we have updated the images
-            SobelProcessor processor = this.Verify<SobelProcessor>(this.rect);
             Assert.True(processor.Grayscale);
+            Assert.Equal(kernel, processor.Kernel);
         }
 
-        public static IEnumerable<object[]> EdgeDetectionTheoryData => new[]
+        [Theory]
+        [MemberData(nameof(EdgeDetectorKernelData))]
+        public void DetectEdges_Rect_EdgeDetectorProcessor_DefaultGrayScale_Set(EdgeDetectorKernel kernel, bool _)
         {
-            new object[] { new TestType<KayyaliProcessor>(), KnownEdgeDetectionOperators.Kayyali },
-            new object[] { new TestType<KirschProcessor>(), KnownEdgeDetectionOperators.Kirsch },
-            new object[] { new TestType<Laplacian3x3Processor>(), KnownEdgeDetectionOperators.Laplacian3x3 },
-            new object[] { new TestType<Laplacian5x5Processor>(), KnownEdgeDetectionOperators.Laplacian5x5 },
-            new object[] { new TestType<LaplacianOfGaussianProcessor>(), KnownEdgeDetectionOperators.LaplacianOfGaussian },
-            new object[] { new TestType<PrewittProcessor>(), KnownEdgeDetectionOperators.Prewitt },
-            new object[] { new TestType<RobertsCrossProcessor>(), KnownEdgeDetectionOperators.RobertsCross },
-            new object[] { new TestType<RobinsonProcessor>(), KnownEdgeDetectionOperators.Robinson },
-            new object[] { new TestType<ScharrProcessor>(), KnownEdgeDetectionOperators.Scharr },
-            new object[] { new TestType<SobelProcessor>(), KnownEdgeDetectionOperators.Sobel },
-        };
+            this.operations.DetectEdges(kernel, this.rect);
+            EdgeDetectorProcessor processor = this.Verify<EdgeDetectorProcessor>(this.rect);
+
+            Assert.True(processor.Grayscale);
+            Assert.Equal(kernel, processor.Kernel);
+        }
 
         [Theory]
-        [MemberData(nameof(EdgeDetectionTheoryData))]
-        public void DetectEdges_filter_SobelProcessorDefaultsSet<TProcessor>(TestType<TProcessor> type, KnownEdgeDetectionOperators filter)
-            where TProcessor : EdgeDetectorProcessor
+        [MemberData(nameof(EdgeDetectorKernelData))]
+        public void DetectEdges_EdgeDetectorProcessorSet(EdgeDetectorKernel kernel, bool grayscale)
         {
-            this.operations.DetectEdges(filter);
+            this.operations.DetectEdges(kernel, grayscale);
+            EdgeDetectorProcessor processor = this.Verify<EdgeDetectorProcessor>();
+
+            Assert.Equal(grayscale, processor.Grayscale);
+            Assert.Equal(kernel, processor.Kernel);
+        }
+
+        [Theory]
+        [MemberData(nameof(EdgeDetectorKernelData))]
+        public void DetectEdges_Rect_EdgeDetectorProcessorSet(EdgeDetectorKernel kernel, bool grayscale)
+        {
+            this.operations.DetectEdges(kernel, grayscale, this.rect);
+            EdgeDetectorProcessor processor = this.Verify<EdgeDetectorProcessor>(this.rect);
+
+            Assert.Equal(grayscale, processor.Grayscale);
+            Assert.Equal(kernel, processor.Kernel);
+        }
+
+        public static TheoryData<EdgeDetectorCompassKernel, bool> EdgeDetectorCompassKernelData =
+            new TheoryData<EdgeDetectorCompassKernel, bool>
+            {
+                { KnownEdgeDetectorKernels.Kirsch, true },
+                { KnownEdgeDetectorKernels.Kirsch, false },
+                { KnownEdgeDetectorKernels.Robinson, true },
+                { KnownEdgeDetectorKernels.Robinson, false },
+            };
+
+        [Theory]
+        [MemberData(nameof(EdgeDetectorCompassKernelData))]
+        public void DetectEdges_EdgeDetectorCompassProcessor_DefaultGrayScale_Set(EdgeDetectorCompassKernel kernel, bool _)
+        {
+            this.operations.DetectEdges(kernel);
+            EdgeDetectorCompassProcessor processor = this.Verify<EdgeDetectorCompassProcessor>();
+
+            Assert.True(processor.Grayscale);
+            Assert.Equal(kernel, processor.Kernel);
+        }
+
+        [Theory]
+        [MemberData(nameof(EdgeDetectorCompassKernelData))]
+        public void DetectEdges_Rect_EdgeDetectorCompassProcessor_DefaultGrayScale_Set(EdgeDetectorCompassKernel kernel, bool _)
+        {
+            this.operations.DetectEdges(kernel, this.rect);
+            EdgeDetectorCompassProcessor processor = this.Verify<EdgeDetectorCompassProcessor>(this.rect);
 
-            // TODO: Enable once we have updated the images
-            var processor = this.Verify<TProcessor>();
             Assert.True(processor.Grayscale);
+            Assert.Equal(kernel, processor.Kernel);
+        }
+
+        [Theory]
+        [MemberData(nameof(EdgeDetectorCompassKernelData))]
+        public void DetectEdges_EdgeDetectorCompassProcessorSet(EdgeDetectorCompassKernel kernel, bool grayscale)
+        {
+            this.operations.DetectEdges(kernel, grayscale);
+            EdgeDetectorCompassProcessor processor = this.Verify<EdgeDetectorCompassProcessor>();
+
+            Assert.Equal(grayscale, processor.Grayscale);
+            Assert.Equal(kernel, processor.Kernel);
         }
 
         [Theory]
-        [MemberData(nameof(EdgeDetectionTheoryData))]
-        public void DetectEdges_filter_grayscale_SobelProcessorDefaultsSet<TProcessor>(TestType<TProcessor> type, KnownEdgeDetectionOperators filter)
-            where TProcessor : EdgeDetectorProcessor
+        [MemberData(nameof(EdgeDetectorCompassKernelData))]
+        public void DetectEdges_Rect_EdgeDetectorCompassProcessorSet(EdgeDetectorCompassKernel kernel, bool grayscale)
         {
-            bool grey = (int)filter % 2 == 0;
-            this.operations.DetectEdges(filter, grey);
+            this.operations.DetectEdges(kernel, grayscale, this.rect);
+            EdgeDetectorCompassProcessor processor = this.Verify<EdgeDetectorCompassProcessor>(this.rect);
 
-            // TODO: Enable once we have updated the images
-            var processor = this.Verify<TProcessor>();
-            Assert.Equal(grey, processor.Grayscale);
+            Assert.Equal(grayscale, processor.Grayscale);
+            Assert.Equal(kernel, processor.Kernel);
         }
     }
 }
diff --git a/tests/ImageSharp.Tests/Processing/Processors/Convolution/DetectEdgesTest.cs b/tests/ImageSharp.Tests/Processing/Processors/Convolution/DetectEdgesTest.cs
index a96b05d63..7a3b104b3 100644
--- a/tests/ImageSharp.Tests/Processing/Processors/Convolution/DetectEdgesTest.cs
+++ b/tests/ImageSharp.Tests/Processing/Processors/Convolution/DetectEdgesTest.cs
@@ -3,6 +3,7 @@
 
 using SixLabors.ImageSharp.PixelFormats;
 using SixLabors.ImageSharp.Processing;
+using SixLabors.ImageSharp.Processing.Processors.Convolution;
 using SixLabors.ImageSharp.Tests.TestUtilities.ImageComparison;
 using Xunit;
 
@@ -20,18 +21,29 @@ namespace SixLabors.ImageSharp.Tests.Processing.Processors.Convolution
 
         public const PixelTypes CommonNonDefaultPixelTypes = PixelTypes.Rgba32 | PixelTypes.Bgra32 | PixelTypes.RgbaVector;
 
-        public static readonly TheoryData<KnownEdgeDetectionOperators> DetectEdgesFilters = new TheoryData<KnownEdgeDetectionOperators>
+        public static readonly TheoryData<EdgeDetectorKernel> DetectEdgesFilters
+            = new TheoryData<EdgeDetectorKernel>
         {
-            KnownEdgeDetectionOperators.Kayyali,
-            KnownEdgeDetectionOperators.Kirsch,
-            KnownEdgeDetectionOperators.Laplacian3x3,
-            KnownEdgeDetectionOperators.Laplacian5x5,
-            KnownEdgeDetectionOperators.LaplacianOfGaussian,
-            KnownEdgeDetectionOperators.Prewitt,
-            KnownEdgeDetectionOperators.RobertsCross,
-            KnownEdgeDetectionOperators.Robinson,
-            KnownEdgeDetectionOperators.Scharr,
-            KnownEdgeDetectionOperators.Sobel
+            KnownEdgeDetectorKernels.Laplacian3x3,
+            KnownEdgeDetectorKernels.Laplacian5x5,
+            KnownEdgeDetectorKernels.LaplacianOfGaussian,
+        };
+
+        public static readonly TheoryData<EdgeDetector2DKernel> DetectEdges2DFilters
+            = new TheoryData<EdgeDetector2DKernel>
+        {
+            KnownEdgeDetectorKernels.Kayyali,
+            KnownEdgeDetectorKernels.Prewitt,
+            KnownEdgeDetectorKernels.RobertsCross,
+            KnownEdgeDetectorKernels.Scharr,
+            KnownEdgeDetectorKernels.Sobel
+        };
+
+        public static readonly TheoryData<EdgeDetectorCompassKernel> DetectEdgesCompassFilters
+            = new TheoryData<EdgeDetectorCompassKernel>
+        {
+            KnownEdgeDetectorKernels.Kirsch,
+            KnownEdgeDetectorKernels.Robinson,
         };
 
         [Theory]
@@ -53,7 +65,39 @@ namespace SixLabors.ImageSharp.Tests.Processing.Processors.Convolution
         [Theory]
         [WithTestPatternImages(nameof(DetectEdgesFilters), 100, 100, PixelTypes.Rgba32)]
         [WithFileCollection(nameof(TestImages), nameof(DetectEdgesFilters), PixelTypes.Rgba32)]
-        public void DetectEdges_WorksWithAllFilters<TPixel>(TestImageProvider<TPixel> provider, KnownEdgeDetectionOperators detector)
+        public void DetectEdges_WorksWithAllFilters<TPixel>(TestImageProvider<TPixel> provider, EdgeDetectorKernel detector)
+            where TPixel : unmanaged, IPixel<TPixel>
+        {
+            bool hasAlpha = provider.SourceFileOrDescription.Contains("TestPattern");
+            ImageComparer comparer = hasAlpha ? TransparentComparer : OpaqueComparer;
+            using (Image<TPixel> image = provider.GetImage())
+            {
+                image.Mutate(x => x.DetectEdges(detector));
+                image.DebugSave(provider, detector.ToString());
+                image.CompareToReferenceOutput(comparer, provider, detector.ToString());
+            }
+        }
+
+        [Theory]
+        [WithTestPatternImages(nameof(DetectEdgesFilters), 100, 100, PixelTypes.Rgba32)]
+        [WithFileCollection(nameof(TestImages), nameof(DetectEdges2DFilters), PixelTypes.Rgba32)]
+        public void DetectEdges2D_WorksWithAllFilters<TPixel>(TestImageProvider<TPixel> provider, EdgeDetector2DKernel detector)
+            where TPixel : unmanaged, IPixel<TPixel>
+        {
+            bool hasAlpha = provider.SourceFileOrDescription.Contains("TestPattern");
+            ImageComparer comparer = hasAlpha ? TransparentComparer : OpaqueComparer;
+            using (Image<TPixel> image = provider.GetImage())
+            {
+                image.Mutate(x => x.DetectEdges(detector));
+                image.DebugSave(provider, detector.ToString());
+                image.CompareToReferenceOutput(comparer, provider, detector.ToString());
+            }
+        }
+
+        [Theory]
+        [WithTestPatternImages(nameof(DetectEdgesCompassFilters), 100, 100, PixelTypes.Rgba32)]
+        [WithFileCollection(nameof(TestImages), nameof(DetectEdgesFilters), PixelTypes.Rgba32)]
+        public void DetectEdgesCompass_WorksWithAllFilters<TPixel>(TestImageProvider<TPixel> provider, EdgeDetectorCompassKernel detector)
             where TPixel : unmanaged, IPixel<TPixel>
         {
             bool hasAlpha = provider.SourceFileOrDescription.Contains("TestPattern");
@@ -115,7 +159,29 @@ namespace SixLabors.ImageSharp.Tests.Processing.Processors.Convolution
 
         [Theory]
         [WithFile(Tests.TestImages.Png.Bike, nameof(DetectEdgesFilters), PixelTypes.Rgba32)]
-        public void WorksWithDiscoBuffers<TPixel>(TestImageProvider<TPixel> provider, KnownEdgeDetectionOperators detector)
+        public void WorksWithDiscoBuffers<TPixel>(TestImageProvider<TPixel> provider, EdgeDetectorKernel detector)
+            where TPixel : unmanaged, IPixel<TPixel>
+        {
+            provider.RunBufferCapacityLimitProcessorTest(
+                41,
+                c => c.DetectEdges(detector),
+                detector);
+        }
+
+        [Theory]
+        [WithFile(Tests.TestImages.Png.Bike, nameof(DetectEdges2DFilters), PixelTypes.Rgba32)]
+        public void WorksWithDiscoBuffers2D<TPixel>(TestImageProvider<TPixel> provider, EdgeDetector2DKernel detector)
+            where TPixel : unmanaged, IPixel<TPixel>
+        {
+            provider.RunBufferCapacityLimitProcessorTest(
+                41,
+                c => c.DetectEdges(detector),
+                detector);
+        }
+
+        [Theory]
+        [WithFile(Tests.TestImages.Png.Bike, nameof(DetectEdgesCompassFilters), PixelTypes.Rgba32)]
+        public void WorksWithDiscoBuffersCompass<TPixel>(TestImageProvider<TPixel> provider, EdgeDetectorCompassKernel detector)
             where TPixel : unmanaged, IPixel<TPixel>
         {
             provider.RunBufferCapacityLimitProcessorTest(