MorphologicalGradient.cs

using IdApp.Cv.Arithmetics;
using IdApp.Cv.Basic;
 
namespace IdApp.Cv.Transformations.Morphological
{
    public static partial class MorphologicalOperations
    {
        public static Matrix<float> MorphologicalGradient(this Matrix<float> M)
        {
            return M.MorphologicalGradient(3, 3, 0f, 1f);
        }
 
        public static Matrix<float> MorphologicalGradient(this Matrix<float> M, int NeighborhoodWidth)
        {
            return M.MorphologicalGradient(NeighborhoodWidth, NeighborhoodWidth, 0f, 1f);
        }
 
        public static Matrix<float> MorphologicalGradient(this Matrix<float> M,
            int NeighborhoodWidth, int NeighborhoodHeight)
        {
            return M.MorphologicalGradient(NeighborhoodWidth, NeighborhoodHeight, 0f, 1f);
        }
 
        public static Matrix<float> MorphologicalGradient(this Matrix<float> M, 
            int NeighborhoodWidth, int NeighborhoodHeight, float MinThreshold, float MaxThreshold)
        {
            Matrix<float> Result = M.Dilate(NeighborhoodWidth, NeighborhoodHeight, MaxThreshold);
            Result.AbsoluteDifference(M.Erode(NeighborhoodWidth, NeighborhoodHeight, MinThreshold));
            return Result;
        }
 
        public static Matrix<float> MorphologicalGradient(this Matrix<float> M, Shape Kernel)
        {
            return M.MorphologicalGradient(Kernel, 0f, 1f);
        }
 
        public static Matrix<float> MorphologicalGradient(this Matrix<float> M, Shape Kernel,
            float MinThreshold, float MaxThreshold)
        {
            Matrix<float> Result = M.Dilate(Kernel, MaxThreshold);
            Result.AbsoluteDifference(M.Erode(Kernel, MinThreshold));
            return Result;
        }
 
        public static Matrix<int> MorphologicalGradient(this Matrix<int> M)
        {
            return M.MorphologicalGradient(3, 3, 0, 0x01000000);
        }
 
        public static Matrix<int> MorphologicalGradient(this Matrix<int> M, int NeighborhoodWidth)
        {
            return M.MorphologicalGradient(NeighborhoodWidth, NeighborhoodWidth, 0, 0x01000000);
        }
 
        public static Matrix<int> MorphologicalGradient(this Matrix<int> M,
            int NeighborhoodWidth, int NeighborhoodHeight)
        {
            return M.MorphologicalGradient(NeighborhoodWidth, NeighborhoodHeight, 0, 0x01000000);
        }
 
        public static Matrix<int> MorphologicalGradient(this Matrix<int> M,
            int NeighborhoodWidth, int NeighborhoodHeight, int MinThreshold, int MaxThreshold)
        {
            Matrix<int> Result = M.Dilate(NeighborhoodWidth, NeighborhoodHeight, MaxThreshold);
            Result.AbsoluteDifference(M.Erode(NeighborhoodWidth, NeighborhoodHeight, MinThreshold));
            return Result;
        }
 
        public static Matrix<int> MorphologicalGradient(this Matrix<int> M, Shape Kernel)
        {
            return M.MorphologicalGradient(Kernel, 0, 0x01000000);
        }
 
        public static Matrix<int> MorphologicalGradient(this Matrix<int> M, Shape Kernel, 
            int MinThreshold, int MaxThreshold)
        {
            Matrix<int> Result = M.Dilate(Kernel, MaxThreshold);
            Result.AbsoluteDifference(M.Erode(Kernel, MinThreshold));
            return Result;
        }
 
    }
}