Explore MATLAB source code curated for "图像" with clean implementations, documentation, and examples.
Using the least squares method to automatically detect and fit ellipses in images with excellent results, including implementation details for ellipse parameter estimation and error minimization.
Implementation of Convolutional Neural Networks in MATLAB for Image Feature Extraction
MATLAB source code from "What makes a good model of natural images?" (Yair Weiss and William T. Freeman, CVPR2007), implementing a non-Gaussian Markov model based on pixel brightness differences in natural images, along with practical applications built upon this statistical model.
A comprehensive MATLAB program collection featuring multiple image super-resolution reconstruction algorithms, ready for direct compilation and execution with implementation-ready code structures
The Gabor transform extracts image information across customizable angles and scales through parameterized filtering operations.
This resource contains four MATLAB files (affine.m, grad.m, wrap.m, parametric.m) implementing image affine transformation algorithms and super-resolution reconstruction techniques, providing practical code solutions for geometric image transformations.
Median Filter: Applying a 5x5 processing window to remove noise from corrupted images through pixel value replacement
Extract feature points from two images, compute the fundamental matrix, perform epipolar rectification, and visualize epipolar lines for corrected image feature points with excellent results
The Curvelet Toolbox enables ridgelet-based transformations for edge extraction, noise reduction, and enhancement of digital images through optimized multiscale directional analysis algorithms.
Harris corner detection program that enables region selection and threshold configuration through maximum/minimum corner count parameters, featuring gradient computation, matrix formulation, and corner response evaluation.