MATLAB Code Implementation for Image Binarization

This program performs image binarization processing, converting a BMP image into a black-and-white image while providing the functionality to invert black and white colors. The implementation utilizes MATLAB's image processing toolbox functions such as im2bw() or imbinarize() for threshold-based segmentation, with customizable threshold values for optimal results. Additionally, the program includes the following features: - Image resizing: Adjusts image dimensions using imresize() function with interpolation methods (e.g., bilinear or bicubic) to meet different requirements. - Image filtering: Applies various filter effects like blurring (using fspecial('gaussian')) and sharpening (using fspecial('unsharp')) to enhance image quality through convolution operations. - Image rotation: Rotates images by specified angles using imrotate() function with rotation matrix transformations, supporting different interpolation methods for direction adjustment. - Image saving: Saves processed images to the computer using imwrite() function with format specifications (e.g., BMP, PNG) for subsequent usage. Through these functionalities, implemented with matrix operations and coordinate transformations, the program provides flexible image processing capabilities with multiple options to meet user requirements.