Collected Otsu Image Binarization Algorithm Implementation

This document presents my collected implementation of Otsu's algorithm for image binarization. The algorithm was developed in MATLAB environment and I have uploaded the code in text format for easy accessibility. Researchers and developers can reference this implementation for their image processing needs. The core algorithm operates by calculating the optimal threshold that maximizes the between-class variance of pixel intensities. Key functions include histogram calculation, probability distribution computation, and iterative threshold evaluation. The implementation handles grayscale image input and returns both the optimal threshold value and binarized image output. Additionally, I can provide more image processing algorithms and techniques if required, including edge detection, morphological operations, and other thresholding methods. The code structure follows MATLAB best practices with clear variable naming and commented sections for easy understanding and modification.