Multi-Agent Image Processing and Segmentation MATLAB Source Code
Multi-agent systems, image processing techniques, and image segmentation MATLAB source code implementation, provided without compression passwords for direct access.
Region Growing for Image Segmentation: Algorithm Implementation and Applications
Region Growing Algorithm for Image Segmentation with Code Implementation Details
Image Segmentation with Red Line Division: Implementing Image Matrix Block Partitioning
Image segmentation using red line division to achieve image matrix blocking - a highly simplified and efficient implementation approach
LBF (Local Binary Fitting) Image Segmentation Model
LBF (Local Binary Fitting) is a localized image segmentation model derived from the Chan-Vese (CV) model, specifically designed for intensity inhomogeneous images. The algorithm implementation requires careful initialization as it's sensitive to initial contour placement, and features high computational complexity with intensive energy minimization iterations.
Watershed-Based Image Segmentation
Watershed image segmentation implementation featuring comprehensive source code, test images, and experimental analysis report
Image Segmentation and Extraction Technology for Target Objects
This MATLAB program implements image segmentation and extraction technology for target objects, with the attached code demonstrating excellent performance in license plate detection and recognition as a practical example.
MATLAB Implementation for Medical Image Processing with Segmentation Algorithms
Medical image processing implementation featuring two segmentation approaches: region growing-based segmentation and optimal threshold-based segmentation with code-level algorithm explanations
Image Segmentation Source Code Collection
Carefully curated compilation of image segmentation source codes developed by PhD researchers, fully compatible with MATLAB environment with comprehensive algorithm implementations.
Wavelet Transform-Based Image Processing with MATLAB
MATLAB implementation of wavelet transform for image processing applications including image segmentation and fusion techniques, featuring code examples for multi-level decomposition and reconstruction using wavelet functions.
Maximum Fuzzy Entropy Threshold Image Segmentation Using 2D Histogram
Image segmentation based on maximum fuzzy entropy threshold using 2D histogram, demonstrating superior segmentation performance compared to 1D maximum fuzzy entropy approaches, with S-function implementation for membership degree calculation