Adaptive Threshold Algorithm for Foreground-Background Separation
Adaptive threshold algorithm effectively separates foreground from background including handling non-uniform illumination conditions.
Maximum Entropy Threshold
Using maximum entropy threshold for grayscale image segmentation to separate foreground and background
Image Segmentation of Foreground and Background Using Histogram-Based Adaptive Thresholding
Implementation of foreground-background segmentation through histogram-based adaptive thresholding method with code integration
Shadow Removal Based on HSV Characteristics
In vehicle detection systems, implementing shadow removal from extracted foreground using HSV color space properties with algorithmic implementation details
MATLAB Implementation of Medical Image Compression
Medical image compression with detailed analysis of its prospects and methodologies, featuring code-based implementation approaches using MATLAB's image processing toolbox - an excellent research paper.
Image Segmentation Implementation Using Level Set Method
This MATLAB code implements image segmentation using the Chan-Vese (CV) model, a type of active contour model. It particularly excels at segmenting images with low contrast between background and foreground regions. The implementation employs a semi-implicit scheme for variational level set-based image segmentation, delivering excellent results.