Replace individual processors

src/ImageSharp/Processing/Processors/Convolution/EdgeDetector2DProcessor.cs

@@ -0,0 +1,42 @@
+// Copyright (c) Six Labors.
+// Licensed under the Apache License, Version 2.0.
+
+using SixLabors.ImageSharp.PixelFormats;
+
+namespace SixLabors.ImageSharp.Processing.Processors.Convolution
+{
+    /// <summary>
+    /// Defines edge detection using the two 1D gradient operators.
+    /// </summary>
+    public sealed class EdgeDetector2DProcessor : IImageProcessor
+    {
+        /// <summary>
+        /// Initializes a new instance of the <see cref="EdgeDetector2DProcessor"/> class.
+        /// </summary>
+        /// <param name="kernel">The 2D edge detector kernel.</param>
+        /// <param name="grayscale">
+        /// Whether to convert the image to grayscale before performing edge detection.
+        /// </param>
+        public EdgeDetector2DProcessor(EdgeDetector2DKernel kernel, bool grayscale)
+        {
+            this.Kernel = kernel;
+            this.Grayscale = grayscale;
+        }
+
+        /// <summary>
+        /// Gets the 2D edge detector kernel.
+        /// </summary>
+        public EdgeDetector2DKernel Kernel { get; }
+
+        /// <summary>
+        /// Gets a value indicating whether to convert the image to grayscale before performing
+        /// edge detection.
+        /// </summary>
+        public bool Grayscale { get; }
+
+        /// <inheritdoc />
+        public IImageProcessor<TPixel> CreatePixelSpecificProcessor<TPixel>(Configuration configuration, Image<TPixel> source, Rectangle sourceRectangle)
+            where TPixel : unmanaged, IPixel<TPixel>
+            => new EdgeDetector2DProcessor<TPixel>(configuration, this, source, sourceRectangle);
+    }
+}

src/ImageSharp/Processing/Processors/Convolution/EdgeDetector2DProcessor{TPixel}.cs

@@ -13,42 +13,29 @@ namespace SixLabors.ImageSharp.Processing.Processors.Convolution
     internal class EdgeDetector2DProcessor<TPixel> : ImageProcessor<TPixel>
         where TPixel : unmanaged, IPixel<TPixel>
     {
+        private readonly DenseMatrix<float> kernelX;
+        private readonly DenseMatrix<float> kernelY;
+        private readonly bool grayscale;
+
         /// <summary>
         /// Initializes a new instance of the <see cref="EdgeDetector2DProcessor{TPixel}"/> class.
         /// </summary>
         /// <param name="configuration">The configuration which allows altering default behaviour or extending the library.</param>
-        /// <param name="kernelX">The horizontal gradient operator.</param>
+        /// <param name="definition">The <see cref="EdgeDetector2DProcessor"/> defining the processor parameters.</param>
-        /// <param name="kernelY">The vertical gradient operator.</param>
-        /// <param name="grayscale">Whether to convert the image to grayscale before performing edge detection.</param>
         /// <param name="source">The source <see cref="Image{TPixel}"/> for the current processor instance.</param>
         /// <param name="sourceRectangle">The source area to process for the current processor instance.</param>
-        internal EdgeDetector2DProcessor(
+        public EdgeDetector2DProcessor(
             Configuration configuration,
-            in DenseMatrix<float> kernelX,
+            EdgeDetector2DProcessor definition,
-            in DenseMatrix<float> kernelY,
-            bool grayscale,
             Image<TPixel> source,
             Rectangle sourceRectangle)
             : base(configuration, source, sourceRectangle)
         {
-            Guard.IsTrue(kernelX.Size.Equals(kernelY.Size), $"{nameof(kernelX)} {nameof(kernelY)}", "Kernel sizes must be the same.");
+            this.kernelX = definition.Kernel.KernelX;
-            this.KernelX = kernelX;
+            this.kernelY = definition.Kernel.KernelY;
-            this.KernelY = kernelY;
+            this.grayscale = definition.Grayscale;
-            this.Grayscale = grayscale;
         }
 
-        /// <summary>
-        /// Gets the horizontal gradient operator.
-        /// </summary>
-        public DenseMatrix<float> KernelX { get; }
-
-        /// <summary>
-        /// Gets the vertical gradient operator.
-        /// </summary>
-        public DenseMatrix<float> KernelY { get; }
-
-        public bool Grayscale { get; }
-
         /// <inheritdoc/>
         protected override void BeforeImageApply()
         {
@@ -57,7 +44,7 @@ namespace SixLabors.ImageSharp.Processing.Processors.Convolution
                 opaque.Execute();
             }
 
-            if (this.Grayscale)
+            if (this.grayscale)
             {
                 new GrayscaleBt709Processor(1F).Execute(this.Configuration, this.Source, this.SourceRectangle);
             }
@@ -68,7 +55,13 @@ namespace SixLabors.ImageSharp.Processing.Processors.Convolution
         /// <inheritdoc />
         protected override void OnFrameApply(ImageFrame<TPixel> source)
         {
-            using var processor = new Convolution2DProcessor<TPixel>(this.Configuration, this.KernelX, this.KernelY, true, this.Source, this.SourceRectangle);
+            using var processor = new Convolution2DProcessor<TPixel>(
+                this.Configuration,
+                in this.kernelX,
+                in this.kernelY,
+                true,
+                this.Source,
+                this.SourceRectangle);
 
             processor.Apply(source);
         }

src/ImageSharp/Processing/Processors/Convolution/EdgeDetectorCompassProcessor.cs

@@ -0,0 +1,42 @@
+// Copyright (c) Six Labors.
+// Licensed under the Apache License, Version 2.0.
+
+using SixLabors.ImageSharp.PixelFormats;
+
+namespace SixLabors.ImageSharp.Processing.Processors.Convolution
+{
+    /// <summary>
+    /// Defines edge detection using eight gradient operators.
+    /// </summary>
+    public sealed class EdgeDetectorCompassProcessor : IImageProcessor
+    {
+        /// <summary>
+        /// Initializes a new instance of the <see cref="EdgeDetectorCompassProcessor"/> class.
+        /// </summary>
+        /// <param name="kernel">The edge detector kernel.</param>
+        /// <param name="grayscale">
+        /// Whether to convert the image to grayscale before performing edge detection.
+        /// </param>
+        public EdgeDetectorCompassProcessor(EdgeDetectorCompassKernel kernel, bool grayscale)
+        {
+            this.Kernel = kernel;
+            this.Grayscale = grayscale;
+        }
+
+        /// <summary>
+        /// Gets the edge detector kernel.
+        /// </summary>
+        public EdgeDetectorCompassKernel Kernel { get; }
+
+        /// <summary>
+        /// Gets a value indicating whether to convert the image to grayscale before performing
+        /// edge detection.
+        /// </summary>
+        public bool Grayscale { get; }
+
+        /// <inheritdoc />
+        public IImageProcessor<TPixel> CreatePixelSpecificProcessor<TPixel>(Configuration configuration, Image<TPixel> source, Rectangle sourceRectangle)
+            where TPixel : unmanaged, IPixel<TPixel>
+            => new EdgeDetectorCompassProcessor<TPixel>(configuration, this, source, sourceRectangle);
+    }
+}

src/ImageSharp/Processing/Processors/Convolution/EdgeDetectorCompassProcessor{TPixel}.cs

@@ -25,15 +25,18 @@ namespace SixLabors.ImageSharp.Processing.Processors.Convolution
         /// Initializes a new instance of the <see cref="EdgeDetectorCompassProcessor{TPixel}"/> class.
         /// </summary>
         /// <param name="configuration">The configuration which allows altering default behaviour or extending the library.</param>
-        /// <param name="kernels">The kernels to use.</param>
+        /// <param name="definition">The <see cref="EdgeDetectorCompassProcessor"/> defining the processor parameters.</param>
-        /// <param name="grayscale">Whether to convert the image to grayscale before performing edge detection.</param>
         /// <param name="source">The source <see cref="Image{TPixel}"/> for the current processor instance.</param>
         /// <param name="sourceRectangle">The source area to process for the current processor instance.</param>
-        internal EdgeDetectorCompassProcessor(Configuration configuration, in EdgeDetectorCompassKernel kernels, bool grayscale, Image<TPixel> source, Rectangle sourceRectangle)
+        internal EdgeDetectorCompassProcessor(
+            Configuration configuration,
+            EdgeDetectorCompassProcessor definition,
+            Image<TPixel> source,
+            Rectangle sourceRectangle)
             : base(configuration, source, sourceRectangle)
         {
-            this.grayscale = grayscale;
+            this.grayscale = definition.Grayscale;
-            this.kernels = kernels.Flatten();
+            this.kernels = definition.Kernel.Flatten();
         }
 
         /// <inheritdoc/>

src/ImageSharp/Processing/Processors/Convolution/EdgeDetectorProcessor.cs

@@ -6,26 +6,37 @@ using SixLabors.ImageSharp.PixelFormats;
 namespace SixLabors.ImageSharp.Processing.Processors.Convolution
 {
     /// <summary>
-    /// Defines a processor that detects edges within an image using a single two dimensional matrix.
+    /// Defines edge detection using a single 2D gradient operator.
     /// </summary>
-    public abstract class EdgeDetectorProcessor : IImageProcessor
+    public sealed class EdgeDetectorProcessor : IImageProcessor
     {
         /// <summary>
         /// Initializes a new instance of the <see cref="EdgeDetectorProcessor"/> class.
         /// </summary>
-        /// <param name="grayscale">A value indicating whether to convert the image to grayscale before performing edge detection.</param>
+        /// <param name="kernel">The  edge detector kernel.</param>
-        protected EdgeDetectorProcessor(bool grayscale)
+        /// <param name="grayscale">
+        /// Whether to convert the image to grayscale before performing edge detection.
+        /// </param>
+        public EdgeDetectorProcessor(EdgeDetectorKernel kernel, bool grayscale)
         {
+            this.Kernel = kernel;
             this.Grayscale = grayscale;
         }
 
         /// <summary>
-        /// Gets a value indicating whether to convert the image to grayscale before performing edge detection.
+        /// Gets the edge detector kernel.
+        /// </summary>
+        public EdgeDetectorKernel Kernel { get; }
+
+        /// <summary>
+        /// Gets a value indicating whether to convert the image to grayscale before performing
+        /// edge detection.
         /// </summary>
         public bool Grayscale { get; }
 
         /// <inheritdoc />
-        public abstract IImageProcessor<TPixel> CreatePixelSpecificProcessor<TPixel>(Configuration configuration, Image<TPixel> source, Rectangle sourceRectangle)
+        public IImageProcessor<TPixel> CreatePixelSpecificProcessor<TPixel>(Configuration configuration, Image<TPixel> source, Rectangle sourceRectangle)
-            where TPixel : unmanaged, IPixel<TPixel>;
+            where TPixel : unmanaged, IPixel<TPixel>
+            => new EdgeDetectorProcessor<TPixel>(configuration, this, source, sourceRectangle);
     }
 }

src/ImageSharp/Processing/Processors/Convolution/EdgeDetectorProcessor{TPixel}.cs

@@ -20,20 +20,18 @@ namespace SixLabors.ImageSharp.Processing.Processors.Convolution
         /// Initializes a new instance of the <see cref="EdgeDetectorProcessor{TPixel}"/> class.
         /// </summary>
         /// <param name="configuration">The configuration which allows altering default behaviour or extending the library.</param>
-        /// <param name="kernelXY">The 2d gradient operator.</param>
+        /// <param name="definition">The <see cref="EdgeDetectorProcessor"/> defining the processor parameters.</param>
-        /// <param name="grayscale">Whether to convert the image to grayscale before performing edge detection.</param>
         /// <param name="source">The source <see cref="Image{TPixel}"/> for the current processor instance.</param>
         /// <param name="sourceRectangle">The target area to process for the current processor instance.</param>
         public EdgeDetectorProcessor(
             Configuration configuration,
-            in EdgeDetectorKernel kernelXY,
+            EdgeDetectorProcessor definition,
-            bool grayscale,
             Image<TPixel> source,
             Rectangle sourceRectangle)
             : base(configuration, source, sourceRectangle)
         {
-            this.kernelXY = kernelXY.KernelXY;
+            this.kernelXY = definition.Kernel.KernelXY;
-            this.grayscale = grayscale;
+            this.grayscale = definition.Grayscale;
         }
 
         /// <inheritdoc/>

src/ImageSharp/Processing/Processors/Convolution/KayyaliProcessor.cs

@@ -1,31 +0,0 @@
-// Copyright (c) Six Labors.
-// Licensed under the Apache License, Version 2.0.
-
-namespace SixLabors.ImageSharp.Processing.Processors.Convolution
-{
-    /// <summary>
-    /// Defines edge detection processing using the Kayyali operator filter.
-    /// See <see href="http://edgedetection.webs.com/"/>.
-    /// </summary>
-    public sealed class KayyaliProcessor : EdgeDetectorProcessor
-    {
-        /// <summary>
-        /// Initializes a new instance of the <see cref="KayyaliProcessor"/> class.
-        /// </summary>
-        /// <param name="grayscale">Whether to convert the image to grayscale before performing edge detection.</param>
-        public KayyaliProcessor(bool grayscale)
-            : base(grayscale)
-        {
-        }
-
-        /// <inheritdoc />
-        public override IImageProcessor<TPixel> CreatePixelSpecificProcessor<TPixel>(Configuration configuration, Image<TPixel> source, Rectangle sourceRectangle)
-            => new EdgeDetector2DProcessor<TPixel>(
-                configuration,
-                KayyaliKernels.KayyaliX,
-                KayyaliKernels.KayyaliY,
-                this.Grayscale,
-                source,
-                sourceRectangle);
-    }
-}

src/ImageSharp/Processing/Processors/Convolution/Kernels/EdgeDetectorCompassKernel.cs

@@ -12,6 +12,7 @@ namespace SixLabors.ImageSharp.Processing.Processors.Convolution
     {
         /// <summary>
         /// An edge detection kenel comprised of Kirsch gradient operators.
+        /// <see href="http://en.wikipedia.org/wiki/Kirsch_operator"/>.
         /// </summary>
         public static EdgeDetectorCompassKernel Kirsch =
             new EdgeDetectorCompassKernel(
@@ -26,6 +27,7 @@ namespace SixLabors.ImageSharp.Processing.Processors.Convolution
 
         /// <summary>
         /// An edge detection kenel comprised of Robinson gradient operators.
+        /// <see href="http://www.tutorialspoint.com/dip/Robinson_Compass_Mask.htm"/>
         /// </summary>
         public static EdgeDetectorCompassKernel Robinson =
             new EdgeDetectorCompassKernel(

src/ImageSharp/Processing/Processors/Convolution/Kernels/EdgeDetectorKernel.cs

@@ -12,16 +12,19 @@ namespace SixLabors.ImageSharp.Processing.Processors.Convolution
     {
         /// <summary>
         /// An edge detection kernel containing a 3x3 Laplacian operator.
+        /// <see href="http://en.wikipedia.org/wiki/Discrete_Laplace_operator"/>
         /// </summary>
         public static EdgeDetectorKernel Laplacian3x3 = new EdgeDetectorKernel(LaplacianKernels.Laplacian3x3);
 
         /// <summary>
         /// An edge detection kernel containing a 5x5 Laplacian operator.
+        /// <see href="http://en.wikipedia.org/wiki/Discrete_Laplace_operator"/>
         /// </summary>
         public static EdgeDetectorKernel Laplacian5x5 = new EdgeDetectorKernel(LaplacianKernels.Laplacian5x5);
 
         /// <summary>
         /// An edge detection kernel containing a Laplacian of Gaussian operator.
+        /// <see href="http://fourier.eng.hmc.edu/e161/lectures/gradient/node8.html"/>.
         /// </summary>
         public static EdgeDetectorKernel LaplacianOfGaussian = new EdgeDetectorKernel(LaplacianKernels.LaplacianOfGaussianXY);
 

src/ImageSharp/Processing/Processors/Convolution/Kernels/Implementation/KirschKernels.cs

@@ -4,7 +4,8 @@
 namespace SixLabors.ImageSharp.Processing.Processors.Convolution
 {
     /// <summary>
-    /// Contains the eight matrices used for Kirsch edge detection
+    /// Contains the eight matrices used for Kirsch edge detection.
+    /// <see href="http://en.wikipedia.org/wiki/Kirsch_operator"/>.
     /// </summary>
     internal static class KirschKernels
     {

src/ImageSharp/Processing/Processors/Convolution/Kernels/Implementation/LaplacianKernels.cs

@@ -1,10 +1,12 @@
-// Copyright (c) Six Labors.
+// Copyright (c) Six Labors.
 // Licensed under the Apache License, Version 2.0.
 
 namespace SixLabors.ImageSharp.Processing.Processors.Convolution
 {
     /// <summary>
-    /// Contains Laplacian kernels of different sizes
+    /// Contains Laplacian kernels of different sizes.
+    /// <see href="http://en.wikipedia.org/wiki/Discrete_Laplace_operator"/>
+    /// <see href="http://fourier.eng.hmc.edu/e161/lectures/gradient/node8.html"/>.
     /// </summary>
     internal static class LaplacianKernels
     {
@@ -31,4 +33,4 @@ namespace SixLabors.ImageSharp.Processing.Processors.Convolution
                     { 0, 0, -1,  0,  0 }
                 };
     }
-}
+}

src/ImageSharp/Processing/Processors/Convolution/Kernels/Implementation/RobinsonKernels.cs

@@ -5,6 +5,7 @@ namespace SixLabors.ImageSharp.Processing.Processors.Convolution
 {
     /// <summary>
     /// Contains the kernels used for Robinson edge detection.
+    /// <see href="http://www.tutorialspoint.com/dip/Robinson_Compass_Mask.htm"/>
     /// </summary>
     internal static class RobinsonKernels
     {

src/ImageSharp/Processing/Processors/Convolution/KirschProcessor.cs

@@ -1,25 +0,0 @@
-// Copyright (c) Six Labors.
-// Licensed under the Apache License, Version 2.0.
-
-namespace SixLabors.ImageSharp.Processing.Processors.Convolution
-{
-    /// <summary>
-    /// Defines edge detection using the Kirsch operator filter.
-    /// See <see href="http://en.wikipedia.org/wiki/Kirsch_operator"/>.
-    /// </summary>
-    public sealed class KirschProcessor : EdgeDetectorProcessor
-    {
-        /// <summary>
-        /// Initializes a new instance of the <see cref="KirschProcessor"/> class.
-        /// </summary>
-        /// <param name="grayscale">Whether to convert the image to grayscale before performing edge detection.</param>
-        public KirschProcessor(bool grayscale)
-            : base(grayscale)
-        {
-        }
-
-        /// <inheritdoc />
-        public override IImageProcessor<TPixel> CreatePixelSpecificProcessor<TPixel>(Configuration configuration, Image<TPixel> source, Rectangle sourceRectangle)
-            => new EdgeDetectorCompassProcessor<TPixel>(configuration, new KirschKernels(), this.Grayscale, source, sourceRectangle);
-    }
-}

src/ImageSharp/Processing/Processors/Convolution/Laplacian3x3Processor.cs

@@ -1,25 +0,0 @@
-// Copyright (c) Six Labors.
-// Licensed under the Apache License, Version 2.0.
-
-namespace SixLabors.ImageSharp.Processing.Processors.Convolution
-{
-    /// <summary>
-    /// Applies edge detection processing to the image using the Laplacian 3x3 operator filter.
-    /// <see href="http://en.wikipedia.org/wiki/Discrete_Laplace_operator"/>
-    /// </summary>
-    public sealed class Laplacian3x3Processor : EdgeDetectorProcessor
-    {
-        /// <summary>
-        /// Initializes a new instance of the <see cref="Laplacian3x3Processor"/> class.
-        /// </summary>
-        /// <param name="grayscale">Whether to convert the image to grayscale before performing edge detection.</param>
-        public Laplacian3x3Processor(bool grayscale)
-            : base(grayscale)
-        {
-        }
-
-        /// <inheritdoc />
-        public override IImageProcessor<TPixel> CreatePixelSpecificProcessor<TPixel>(Configuration configuration, Image<TPixel> source, Rectangle sourceRectangle)
-            => new EdgeDetectorProcessor<TPixel>(configuration, LaplacianKernels.Laplacian3x3, this.Grayscale, source, sourceRectangle);
-    }
-}

src/ImageSharp/Processing/Processors/Convolution/Laplacian5x5Processor.cs

@@ -1,25 +0,0 @@
-// Copyright (c) Six Labors.
-// Licensed under the Apache License, Version 2.0.
-
-namespace SixLabors.ImageSharp.Processing.Processors.Convolution
-{
-    /// <summary>
-    /// Defines edge detection processing using the Laplacian 5x5 operator filter.
-    /// <see href="http://en.wikipedia.org/wiki/Discrete_Laplace_operator"/>.
-    /// </summary>
-    public sealed class Laplacian5x5Processor : EdgeDetectorProcessor
-    {
-        /// <summary>
-        /// Initializes a new instance of the <see cref="Laplacian5x5Processor"/> class.
-        /// </summary>
-        /// <param name="grayscale">Whether to convert the image to grayscale before performing edge detection.</param>
-        public Laplacian5x5Processor(bool grayscale)
-            : base(grayscale)
-        {
-        }
-
-        /// <inheritdoc />
-        public override IImageProcessor<TPixel> CreatePixelSpecificProcessor<TPixel>(Configuration configuration, Image<TPixel> source, Rectangle sourceRectangle)
-            => new EdgeDetectorProcessor<TPixel>(configuration, LaplacianKernels.Laplacian5x5, this.Grayscale, source, sourceRectangle);
-    }
-}

src/ImageSharp/Processing/Processors/Convolution/LaplacianOfGaussianProcessor.cs

@@ -1,25 +0,0 @@
-// Copyright (c) Six Labors.
-// Licensed under the Apache License, Version 2.0.
-
-namespace SixLabors.ImageSharp.Processing.Processors.Convolution
-{
-    /// <summary>
-    /// Applies edge detection processing to the image using the Laplacian of Gaussian operator filter.
-    /// See <see href="http://fourier.eng.hmc.edu/e161/lectures/gradient/node8.html"/>.
-    /// </summary>
-    public sealed class LaplacianOfGaussianProcessor : EdgeDetectorProcessor
-    {
-        /// <summary>
-        /// Initializes a new instance of the <see cref="LaplacianOfGaussianProcessor"/> class.
-        /// </summary>
-        /// <param name="grayscale">Whether to convert the image to grayscale before performing edge detection.</param>
-        public LaplacianOfGaussianProcessor(bool grayscale)
-            : base(grayscale)
-        {
-        }
-
-        /// <inheritdoc />
-        public override IImageProcessor<TPixel> CreatePixelSpecificProcessor<TPixel>(Configuration configuration, Image<TPixel> source, Rectangle sourceRectangle)
-            => new EdgeDetectorProcessor<TPixel>(configuration, LaplacianKernels.LaplacianOfGaussianXY, this.Grayscale, source, sourceRectangle);
-    }
-}

src/ImageSharp/Processing/Processors/Convolution/PrewittProcessor.cs

@@ -1,31 +0,0 @@
-// Copyright (c) Six Labors.
-// Licensed under the Apache License, Version 2.0.
-
-namespace SixLabors.ImageSharp.Processing.Processors.Convolution
-{
-    /// <summary>
-    /// Defines edge detection using the Prewitt operator filter.
-    /// See <see href="http://en.wikipedia.org/wiki/Prewitt_operator"/>.
-    /// </summary>
-    public sealed class PrewittProcessor : EdgeDetectorProcessor
-    {
-        /// <summary>
-        /// Initializes a new instance of the <see cref="PrewittProcessor"/> class.
-        /// </summary>
-        /// <param name="grayscale">Whether to convert the image to grayscale before performing edge detection.</param>
-        public PrewittProcessor(bool grayscale)
-            : base(grayscale)
-        {
-        }
-
-        /// <inheritdoc />
-        public override IImageProcessor<TPixel> CreatePixelSpecificProcessor<TPixel>(Configuration configuration, Image<TPixel> source, Rectangle sourceRectangle)
-            => new EdgeDetector2DProcessor<TPixel>(
-                configuration,
-                PrewittKernels.PrewittX,
-                PrewittKernels.PrewittY,
-                this.Grayscale,
-                source,
-                sourceRectangle);
-    }
-}

src/ImageSharp/Processing/Processors/Convolution/RobertsCrossProcessor.cs

@@ -1,31 +0,0 @@
-// Copyright (c) Six Labors.
-// Licensed under the Apache License, Version 2.0.
-
-namespace SixLabors.ImageSharp.Processing.Processors.Convolution
-{
-    /// <summary>
-    /// Defines edge detection processing using the Roberts Cross operator filter.
-    /// See <see href="http://en.wikipedia.org/wiki/Roberts_cross"/>.
-    /// </summary>
-    public sealed class RobertsCrossProcessor : EdgeDetectorProcessor
-    {
-        /// <summary>
-        /// Initializes a new instance of the <see cref="RobertsCrossProcessor"/> class.
-        /// </summary>
-        /// <param name="grayscale">Whether to convert the image to grayscale before performing edge detection.</param>
-        public RobertsCrossProcessor(bool grayscale)
-            : base(grayscale)
-        {
-        }
-
-        /// <inheritdoc />
-        public override IImageProcessor<TPixel> CreatePixelSpecificProcessor<TPixel>(Configuration configuration, Image<TPixel> source, Rectangle sourceRectangle)
-            => new EdgeDetector2DProcessor<TPixel>(
-                configuration,
-                RobertsCrossKernels.RobertsCrossX,
-                RobertsCrossKernels.RobertsCrossY,
-                this.Grayscale,
-                source,
-                sourceRectangle);
-    }
-}

src/ImageSharp/Processing/Processors/Convolution/RobinsonProcessor.cs

@@ -1,25 +0,0 @@
-// Copyright (c) Six Labors.
-// Licensed under the Apache License, Version 2.0.
-
-namespace SixLabors.ImageSharp.Processing.Processors.Convolution
-{
-    /// <summary>
-    /// Defines edge detection using the Robinson operator filter.
-    /// See <see href="http://www.tutorialspoint.com/dip/Robinson_Compass_Mask.htm"/>.
-    /// </summary>
-    public sealed class RobinsonProcessor : EdgeDetectorProcessor
-    {
-        /// <summary>
-        /// Initializes a new instance of the <see cref="RobinsonProcessor"/> class.
-        /// </summary>
-        /// <param name="grayscale">Whether to convert the image to grayscale before performing edge detection.</param>
-        public RobinsonProcessor(bool grayscale)
-            : base(grayscale)
-        {
-        }
-
-        /// <inheritdoc />
-        public override IImageProcessor<TPixel> CreatePixelSpecificProcessor<TPixel>(Configuration configuration, Image<TPixel> source, Rectangle sourceRectangle)
-            => new EdgeDetectorCompassProcessor<TPixel>(configuration, new RobinsonKernels(), this.Grayscale, source, sourceRectangle);
-    }
-}

src/ImageSharp/Processing/Processors/Convolution/ScharrProcessor.cs

@@ -1,31 +0,0 @@
-// Copyright (c) Six Labors.
-// Licensed under the Apache License, Version 2.0.
-
-namespace SixLabors.ImageSharp.Processing.Processors.Convolution
-{
-    /// <summary>
-    /// Defines edge detection processing using the Scharr operator filter.
-    /// <see href="http://en.wikipedia.org/wiki/Sobel_operator#Alternative_operators"/>
-    /// </summary>
-    public sealed class ScharrProcessor : EdgeDetectorProcessor
-    {
-        /// <summary>
-        /// Initializes a new instance of the <see cref="ScharrProcessor"/> class.
-        /// </summary>
-        /// <param name="grayscale">Whether to convert the image to grayscale before performing edge detection.</param>
-        public ScharrProcessor(bool grayscale)
-            : base(grayscale)
-        {
-        }
-
-        /// <inheritdoc />
-        public override IImageProcessor<TPixel> CreatePixelSpecificProcessor<TPixel>(Configuration configuration, Image<TPixel> source, Rectangle sourceRectangle)
-            => new EdgeDetector2DProcessor<TPixel>(
-                configuration,
-                ScharrKernels.ScharrX,
-                ScharrKernels.ScharrY,
-                this.Grayscale,
-                source,
-                sourceRectangle);
-    }
-}

src/ImageSharp/Processing/Processors/Convolution/SobelProcessor.cs

@@ -1,31 +0,0 @@
-// Copyright (c) Six Labors.
-// Licensed under the Apache License, Version 2.0.
-
-namespace SixLabors.ImageSharp.Processing.Processors.Convolution
-{
-    /// <summary>
-    /// Defines edge detection using the Sobel operator filter.
-    /// See <see href="http://en.wikipedia.org/wiki/Sobel_operator"/>.
-    /// </summary>
-    public sealed class SobelProcessor : EdgeDetectorProcessor
-    {
-        /// <summary>
-        /// Initializes a new instance of the <see cref="SobelProcessor"/> class.
-        /// </summary>
-        /// <param name="grayscale">Whether to convert the image to grayscale before performing edge detection.</param>
-        public SobelProcessor(bool grayscale)
-            : base(grayscale)
-        {
-        }
-
-        /// <inheritdoc />
-        public override IImageProcessor<TPixel> CreatePixelSpecificProcessor<TPixel>(Configuration configuration, Image<TPixel> source, Rectangle sourceRectangle)
-            => new EdgeDetector2DProcessor<TPixel>(
-                configuration,
-                SobelKernels.SobelX,
-                SobelKernels.SobelY,
-                this.Grayscale,
-                source,
-                sourceRectangle);
-    }
-}