MATLAB Implementation of Mean Shift Algorithm for Image Segmentation
MATLAB program utilizing Mean Shift clustering algorithm for effective image segmentation with spatial-color feature integration
MeanShift Target Tracking
MeanShift, also known as mean shift, is widely applied in clustering, image smoothing, segmentation, and tracking. The shifted mean vector defines a family of kernel functions where the contribution of each sample's shift to the mean shift vector varies based on its distance from the shifted point. By incorporating a weight coefficient that assigns different importance to sample points, MeanSignificantly broadens its application scope. Target tracking using MeanShift is now a mature technique. Fundamentally, the MeanShift algorithm operates as a kernel density estimation method, often implemented through iterative gradient ascent to locate probability density maxima.
Medical Image Segmentation Using GVF Algorithm in MATLAB
MATLAB-based implementation of Gradient Vector Flow (GVF) algorithm for 2D medical image segmentation with detailed code implementation insights
Bimodal Histogram Thresholding for Grayscale Image Segmentation
Bimodal histogram thresholding segmentation: A traditional segmentation technique ideal for beginners to learn, covering fundamental concepts with practical implementation approaches.
MATLAB Implementation of Automatic Threshold Segmentation
Automatic threshold segmentation implemented in MATLAB with two .m files for reference and learning purposes.
Mean Shift Algorithm for Image Segmentation and Smoothing
Mean Shift algorithm implementation for image segmentation and smoothing, demonstrated using example images of horses with code-level insights.
Digital Image Processing GUI
An interactive GUI application for performing fundamental image processing operations including noise addition, filtering, segmentation, and sharpening with real-time preview capabilities.
Semi-automatic Segmentation of Homogeneous Color Regions in Color Images
Semi-automatic segmentation of color-homogeneous regions in images, achieving effects similar to Photoshop's Magic Wand tool through pixel region labeling and clustering algorithms.
Homomorphic Filtering
A high-performance homomorphic filtering program I developed, featuring robust image processing capabilities with detailed code implementation insights
Optical Flow Method for Target Tracking and Segmentation
Implementation of target tracking and segmentation using optical flow method, designed for high-precision simulation and modeling applications