Explore MATLAB source code curated for "数字图像处理" with clean implementations, documentation, and examples.
A comprehensive MATLAB digital image processing case study demonstrating image registration techniques using both feature points and feature regions, with detailed code implementation examples and algorithm explanations.
Digital image processing with MATLAB implementation of nonlinear smoothing filters, where N represents the template size (must be a positive odd number). The code demonstrates practical implementation of noise reduction and detail enhancement algorithms.
Implementation of SSDA template matching method in digital image processing - creating fixed-size rectangular regions in target images and locating them using template matching. The implementation features the Sequential Similarity Detection Algorithm (SSDA) with complete source code, sample test images, and result screenshots demonstrating practical application.
Implementation of workpiece dimension measurement, projection geometric correction, and projection-based distance measurement through MATLAB's digital image processing capabilities
Specialized MATLAB toolbox for Gonzalez's "Digital Image Processing" textbook - includes image enhancement, filtering, segmentation algorithms and implementation examples.
MATLAB implementation of watershed algorithm for digital image segmentation, including complete source code and practical application examples.
This document implements a Bacterial Foraging Particle Swarm Optimization algorithm with applications in digital image processing, featuring swarm intelligence mechanisms for optimization tasks.
Digital image processing using MATLAB programming language, focusing on RGB to HSI color space conversion algorithms
Vehicle License Plate Recognition (VLPR) is a technology that detects vehicles on monitored roads and automatically extracts license plate information, including Chinese characters, English letters, Arabic numerals, and plate colors. As a vital component of modern intelligent transportation systems, VLPR employs digital image processing, pattern recognition, and computer vision techniques to analyze vehicle images or video sequences captured by cameras, extracting unique license plate numbers for each vehicle through algorithmic processing.
Fragile Watermark Implementation in Discrete Wavelet Transform Domain - Digital Image Processing Course Project