Edge Detection in Color Images Using Quaternion Convolution

I'm pleased to know that the MATLAB source code for the paper "Color Image Edge Detection Based on Quaternion Convolution" has been beneficial for your work. The implementation demonstrates how quaternion convolution operations can effectively process color images in their native RGB space, treating color channels as a unified entity rather than processing them separately. This approach preserves color information during edge detection operations. Beyond this method, you might want to explore other established edge detection techniques such as the Canny edge detector, which uses Gaussian filtering, gradient calculation, non-maximum suppression, and hysteresis thresholding, or the Sobel operator that employs simple convolution kernels for gradient approximation. These traditional methods have extensive research backing and could provide comparative insights for your projects. From an implementation perspective, considering porting the algorithm to other programming languages like Python (using libraries such as OpenCV and NumPy) or Java (utilizing image processing frameworks like ImageJ) could enhance your programming versatility. Both languages offer robust image processing capabilities and abundant learning resources for implementing advanced computer vision algorithms.