Explore MATLAB source code curated for "彩色图像处理" with clean implementations, documentation, and examples.
Implementation of corner detection using Harris operator, followed by correlation-based matching point detection and image resampling. Optimized for color image processing, with adaptation for grayscale images by removing color-to-gray conversion statements during Harris detection.
Color image processing techniques focusing on RGB to HSI and HSI to RGB format conversions based on Gonzalez's methodologies, including implementation approaches for color space transformations
The Adaptive Histogram Equalization algorithm demonstrates exceptional performance in processing color images, particularly for medical imaging and endoscopic image enhancement applications. Code implementations typically involve tile-based processing with interpolation to improve local contrast while preserving image details.
The Vector-Valued Snake Model processes color images as a unified vector field rather than decomposing them into separate R, G, B channels, yielding superior edge sharpness through integrated gradient computation and energy minimization algorithms
Color image processing techniques including RGB channel decomposition, grayscale conversion, histogram equalization, and false color image synthesis with MATLAB code implementation details
Calculating real-time satellite orbital two-line elements (TLEs), i.e., the six Keplerian elements, based on satellite position and velocity with high computational accuracy.
This code implements comprehensive color image processing including RGB component extraction, HSV/YCbCr color space conversion, and green screen chroma keying for image compositing. The complete codebase includes detailed implementations with proper parameter tuning for effective color segmentation and alpha blending operations.
Implementation of K-Means Clustering Algorithm for Color Image Segmentation with MATLAB Code Integration