MATLAB-Based Image Processing Software

Image processing integrated software developed using MATLAB. Core functionalities include: opening, displaying, and saving images (grayscale, RGB, etc.); histogram analysis and curve fitting; brightness distribution curves (blur processing); histogram equalization; Gaussian and median filtering techniques; edge detection algorithms (Sobel, Laplacian). This implementation leverages MATLAB's Image Processing Toolbox for efficient matrix operations and algorithm deployment.

MATLAB-Based Image Processing Software Implementation

A custom-developed image processing application built using MATLAB GUI programming, featuring multi-interface management and progress bar functionality with robust code architecture.

Developing Image Processing Software Using MATLAB or VC Languages

Implementation of image processing software using MATLAB or VC++ with the following functionalities: 1. Image reading and display for grayscale/color images with color-to-grayscale conversion (8 credit hours); 2. Image resolution reduction and enhancement (16 credit hours); 3. Grayscale histogram calculation/display and analysis of distribution characteristics (16 credit hours); 4. Histogram equalization processing and result analysis (16 credit hours); 5. For color images: display R/G/B component noise images and perform median/mean filtering on H/S/I components with template sizes of [sizes to be specified]