Explore MATLAB source code curated for "图像" with clean implementations, documentation, and examples.
Implementing image matching through Particle Swarm Optimization algorithm with customizable input images - recommends initial debugging using MATLAB's built-in image datasets for stability verification
This method enables interactive selection and manipulation of multiple regions of interest (ROIs) within images, supporting diverse processing operations for comprehensive image analysis through targeted regional adjustments.
This is the source code implementation of the Criminisi algorithm, designed for high-quality image inpainting with excellent restoration results. The implementation includes priority-based patch filling and texture synthesis mechanisms.
Processing Synthetic Aperture Radar (SAR) imagery specifically designed for marine oil spill detection and analysis using advanced computational methods.
A simplified implementation using Fourier band brightness descriptors to extract shape characteristics from images with code-level algorithm explanations
Transforming LaTeX symbols into images within MATLAB and displaying them on current figures. This functionality provides exceptional convenience for handling images containing extensive LaTeX symbols in MATLAB workflows, offering automated rendering through built-in functions.
This method implements K-means clustering algorithm in LAB color space for image segmentation combined with Hough transform for circle detection, providing a comprehensive approach to circular object identification in digital images.
Implementing stripe noise filtering in images through Fourier transform using three distinct low-pass filtering methods: Ideal Low-Pass Filter, Butterworth Low-Pass Filter, and Gaussian Low-Pass Filter with comparative performance analysis
Implementation of maximum between-class variance multi-threshold image segmentation utilizing organizational particle swarm optimization algorithm with detailed code methodology
Performing 3-level 2D discrete wavelet decomposition and image reconstruction using custom implementations of Mallat or Cohen-Daubechies-Feauveau algorithms instead of MATLAB's built-in dwt and idwt functions.