Skin Color Segmentation Algorithm for Hand Shape Recognition
Implementation of hand region extraction using skin color segmentation algorithm in hand shape recognition, outputting the processed hand region.
Explore MATLAB source code curated for "区域提取" with clean implementations, documentation, and examples.
Implementation of hand region extraction using skin color segmentation algorithm in hand shape recognition, outputting the processed hand region.
MATLAB-based image annotation tool for extracting and labeling regions of interest in images, facilitating subsequent analysis. The program includes functions for interactive region selection and annotation storage, with compatibility for various image formats.
Image segmentation refers to the technical process of dividing images into regions with distinct characteristics and extracting regions of interest, serving as a critical transition from image processing to image analysis. In wheat image processing, segmentation algorithms are employed to extract valuable image information, enabling the separation of adhered wheat kernels and providing foundational data for quality analysis through image processing techniques. This study categorizes segmentation algorithms and examines their fundamental principles, specifically investigating wheat image segmentation methods under varying lighting conditions, backgrounds, and connectivity scenarios. Key focus areas include wavelet transform-based watershed algorithms and threshold segmentation techniques, implemented and evaluated using MATLAB for adhesive wheat kernel separation.
Methods and Algorithms for Image Clustering in Digital Image Processing