Explore MATLAB source code curated for "形状特征" with clean implementations, documentation, and examples.
Comprehensive feature extraction methods including color features, texture features, shape features, and SIFT features, accompanied by a compact CBIR retrieval system implementation code and detailed explanatory presentation materials.
MATLAB-based program for egg shape feature extraction, capable of extracting shape characteristics of cracked egg regions using digital image processing techniques
Feature extraction process that captures texture and shape features from distinct labeled regions within images, enabling advanced image analysis through computational methods.
Feature extraction for three-category inspection images, image preprocessing, shape feature extraction from target image regions using regional markers, and calculation of relevant feature parameters with code implementation examples
Shape features containing high-level semantic information hold significant application value in content-based image retrieval and image recognition. Various descriptors can characterize shape features, with Fourier descriptors being widely applied as they simplify 2D contour information into 1D problems. However, natural image shapes are typically noisy and irregular. This study proposes an image preprocessing method to obtain purified shape images and experimentally evaluates Fourier descriptor algorithms for shape feature extraction.
Feature Extraction: Implementation of texture and shape feature extraction from marked image regions with comprehensive annotations
A MATLAB program implementation for extracting shape features from images, capable of processing various image formats and generating quantitative descriptors for shape analysis.