Locating and Identifying Extremes in Multidimensional Matrices
A MATLAB function for detecting and locating extreme values in multidimensional matrices, commonly used in image processing with simple and effective implementation
Basic Color Image to Grayscale Image Conversion
Fundamental code for converting color images to grayscale images. This represents the most essential source code used in MATLAB image processing workflows, though surprisingly many MATLAB distributions don't include this as a built-in function by default.
Application of Split Bregman Method in Image Processing
The application of the Split Bregman method in image processing demonstrates superior performance compared to traditional deblurring techniques, with enhanced edge preservation and noise reduction capabilities.
Comprehensive MATLAB Implementation of Median Filtering with Code Examples
A complete MATLAB median filtering program covering nearly all filter types, featuring implementation of various kernel sizes (3x3, 5x5, adaptive) and boundary handling methods, including test results on the standard LENA image dataset.
Image Processing Toolbox with Wavelet Transform Algorithm Source Code
This code primarily focuses on image fusion applications, incorporating MATLAB's image processing toolbox and wavelet transform algorithm source code (including multi-resolution wavelet algorithms and research on adaptive wavelet algorithms). The implementation provides practical frameworks for digital image processing with enhanced frequency domain analysis capabilities.
Wavelet Denoising Algorithm Implementation in MATLAB
Wavelet denoising implementation using MATLAB for image processing applications, suitable for graduation thesis projects with detailed code explanations
Image Segmentation in Image Processing: GrabCut Algorithm
The GrabCut algorithm for image segmentation in image processing, empirically proven to achieve high precision, presents implementation challenges but offers substantial research value with its graph-cut optimization approach.
InSAR (Interferometric Synthetic Aperture Radar) Image Processing Module
MATLAB source code for InSAR image processing component developed by Delft University of Technology, Netherlands, featuring phase-based deformation analysis algorithms and radar interferometry implementations.
MATLAB Implementation of Fuzzy C-Means Clustering
Fuzzy C-Means Classification for Image Processing - Highly Recommended with Code Implementation Details
Image Processing Using Hessian Matrix with MATLAB Implementation
Image processing techniques based on the Hessian matrix, including complete MATLAB source code for Hessian computation and practical applications