MATLAB Code Implementation for Threshold-Based Image Segmentation

This is a fully operational threshold-based segmentation program implemented in MATLAB. Threshold segmentation represents a fundamental image processing technique that partitions images into distinct regions by establishing specific intensity thresholds. The program enables users to perform advanced image segmentation within the MATLAB environment, offering customizable threshold parameters to accommodate diverse image characteristics. The implementation leverages MATLAB's built-in functions such as graythresh for automatic threshold calculation and im2bw for binary image conversion, ensuring efficient processing of grayscale images. By utilizing MATLAB's comprehensive image processing toolkit, this solution provides powerful capabilities for histogram analysis, threshold optimization, and morphological operations, making complex segmentation tasks more accessible and computationally efficient. The code structure includes clear documentation for key functions like Otsu's method implementation and adaptive thresholding techniques, allowing users to modify segmentation criteria based on specific application requirements.