Image Segmentation Techniques
Implementation of threshold-based image segmentation methods using MATLAB, including Otsu's method, maximum entropy, clustering approaches, and other algorithms with practical usage examples
Multiple Threshold-Based Image Segmentation Methods with MATLAB Implementation
Implementation of various threshold-based image segmentation techniques in MATLAB, including Otsu's method, maximum entropy thresholding, and clustering-based approaches, complete with algorithm explanations and key function descriptions.
Maximum Entropy-Based Single Threshold Image Segmentation Program
A single-threshold image segmentation program implementing maximum entropy principle for automated threshold selection
Methods for Image Threshold Determination
MATLAB implementations for image threshold determination including iterative thresholding, minimum within-class variance, maximum entropy methods, and edge detection using built-in functions. All programs are executable and tested.