Explore MATLAB source code curated for "图像" with clean implementations, documentation, and examples.
Comprehensive guide to remote sensing image classification featuring MATLAB code examples, sample images, and detailed algorithm explanations covering preprocessing, feature extraction, and classifier training
K-means clustering program with applications in various domains including intrusion detection and image processing, featuring core algorithm implementation and cluster analysis capabilities.
Capable of performing image texture detection by directly loading an image and extracting texture features using various algorithms and methods.
Implementation of road identification in images through C clustering technique from pattern recognition, with algorithm optimization and feature extraction capabilities.
The box-counting method for fractal analysis of images is highly practical and can be directly implemented for various applications.
Make_chaos performs image scrambling to generate disordered images, facilitating secure watermark embedding through pixel position randomization algorithms and cryptographic permutation techniques.
This project combines Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) for image training and recognition processes. Implemented using the ORL face database, the system achieves high recognition accuracy through optimized feature extraction and classification techniques. The implementation includes complete pipelines for data preprocessing, dimensionality reduction, and pattern matching.
MATLAB implementation of image motion deblurring programming code with algorithmic explanations
MATLAB implementation using Fourier descriptors for image shape characterization, featuring contour processing and frequency domain analysis
RMSHE algorithm (Recursive Mean-Separate Histogram Equalization). Core principle involves segmenting images based on mean grayscale values and performing histogram equalization on each segment separately. The package includes MATLAB source code implementation, research paper documentation, and input test images for comprehensive evaluation.