MATLAB-Based Image Processing Software Implementation

This custom-developed image processing software is implemented through MATLAB GUI programming, specifically designed to handle multi-interface operations and progress bar functionalities. The software incorporates various image processing algorithms through programmed modules, including but not limited to image filtering (using functions like imfilter for spatial domain operations), edge detection (implementing algorithms such as Canny or Sobel through edge detection functions), and image enhancement techniques (utilizing histeq for histogram equalization and imadjust for contrast adjustment). The application features an intuitive user interface designed with MATLAB's App Designer or GUIDE, enabling seamless image processing operations. It supports multi-interface management through MATLAB's figure handling system, allowing simultaneous processing of multiple images using imread and image display functions. The progress bar functionality is implemented using MATLAB's waitbar or uiprogressdlg functions, providing real-time feedback on processing stages through calculated iteration percentages. Key programming aspects include object-oriented design for interface management, callback functions for user interaction handling, and optimized algorithm integration for efficient processing. The software architecture employs MATLAB's image processing toolbox functions while implementing custom algorithms for specialized operations. With its powerful capabilities and user-friendly design, this image processing tool effectively addresses diverse image manipulation requirements while maintaining computational efficiency through proper memory management and vectorized operations.