Canny Edge Detection with Anisotropic Diffusion

Implementing anisotropic diffusion-based Canny edge detection in MATLAB yields exceptional edge detection results. This method effectively identifies edge features in images while adapting to edges of varying orientations and intensities. MATLAB provides powerful tools and functions such as imgaussfilt for Gaussian smoothing, gradient for computing image gradients, and edge with 'canny' option for final edge mapping. The anisotropic diffusion process can be implemented using the imdiffusefilt function or custom PDE solvers to reduce noise while preserving edges. Through proper parameter tuning of diffusion coefficients and Canny thresholds (using graythresh or adaptive thresholding), this approach maintains edge continuity and suppresses false detections. MATLAB's comprehensive image processing toolbox makes implementing this advanced technique relatively straightforward and computationally efficient, establishing it as a highly effective and practical method for sophisticated edge detection applications.