Fast Color Image Mosaic Stitching for Two Images
Rapidly mosaic two color images using advanced image processing algorithms with efficient implementation
Explore MATLAB source code curated for "彩色图像" with clean implementations, documentation, and examples.
Rapidly mosaic two color images using advanced image processing algorithms with efficient implementation
This source code implements multi-scale Retinex theory with support for both grayscale and color image processing, featuring flexible scale parameter configurations and efficient convolution operations.
Semi-automatic segmentation of color-homogeneous regions in images, achieving effects similar to Photoshop's Magic Wand tool through pixel region labeling and clustering algorithms.
This repository provides comprehensive source code for color image boundary extraction, including sample images and MATLAB M-files featuring edge detection algorithms and color space conversion methods.
Implementation of an enhanced reference-based algorithm for color image illumination correction through lighting distribution analysis and reference image adaptation
Implementation of Criminisi algorithm for color image inpainting with detailed, executable code and comprehensive technical explanations.
1. Understand the fundamental principles and techniques of color layering in color images - including algorithm design and color space selection 2. Process color images using color layering methods through practical code implementation and threshold-based segmentation 3. Achieve background separation and skin region extraction for ID card standard images using clustering algorithms and region detection techniques
Implementing various color image processing techniques using quaternions, including filtering, fast Fourier transform (FFT), and image quality assessment with code implementation insights.
Implementation of bilateral filtering for color and grayscale images to suppress noise while preserving vital edge information, with code-level parameter optimization insights.
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.