Explore MATLAB source code curated for "论文" with clean implementations, documentation, and examples.
Level set implementations and academic papers focusing on image segmentation techniques, featuring rapid and effective image processing approaches with algorithm implementations and MATLAB/Python code examples
Implementation of DES encryption and decryption using MATLAB, supporting string encryption and document encryption/decryption operations with technical documentation
This program implements an image super-resolution algorithm using similar reference images, based on the research paper "Landmark Image Super-Resolution by Retrieving Web Images"
Complete MATLAB source code implementation of the snake algorithm from William & Shah's seminal paper, including detailed documentation and the original research paper. This resource provides excellent reference value for understanding active contour models, featuring implementation of key functions like energy minimization, gradient descent optimization, and contour evolution.
This program implements fusion image quality assessment algorithms from the papers "A NEW QUALITY METRIC FOR IMAGE FUSION" and "Object image fusion performance measure," featuring code implementations that calculate comprehensive quality metrics through pixel-level analysis, structural consistency evaluation, and target-oriented performance measurements.
Research on spectrum allocation techniques in cognitive radio networks, including academic papers and implementation programs with algorithm demonstrations
This is a MATLAB simulation code for hierarchical inter-cluster routing communication in wireless sensor networks, developed for my research paper. The code can directly generate network lifetime diagrams and implements a widely adopted approach in many academic papers.
Li Chunming's newly implemented local active contour model for image segmentation significantly outperforms traditional CV model methods. This implementation is based on the research paper "Minimization of Region-Scalable Fitting Energy for Image Segmentation" and incorporates advanced energy minimization algorithms for improved segmentation accuracy.
Comprehensive fuzzy classification PDF paper accompanied by practical MATLAB source code, featuring algorithm implementations and function explanations for enhanced learning
Python and MATLAB code implementation of the Non-negative Matrix Factorization algorithm proposed by Lee and Seung in their seminal 1999 Nature paper, featuring parameter optimization and practical usage examples.