Bounding Target Regions in Images using MATLAB
When performing image processing with MATLAB, bounding target regions involves drawing rectangular boxes around areas of interest within an image to facilitate selective operations.
Explore MATLAB source code curated for "目标区域" with clean implementations, documentation, and examples.
When performing image processing with MATLAB, bounding target regions involves drawing rectangular boxes around areas of interest within an image to facilitate selective operations.
FCM Fuzzy C-Means Clustering Algorithm. Usage Instructions: This interactive FCM algorithm allows users to select a rectangular region using mouse interaction, after which the algorithm automatically applies clustering to the target area. The implementation includes GUI components for region selection and handles coordinate transformation for pixel-to-data mapping. Key functions involve membership matrix initialization, centroid calculation iterations, and distance metric computations.
Compute the minimum rectangular bounding box containing target regions in a binary image, extract the top, bottom, left, and right boundaries, and visualize the target area by drawing the rectangle based on boundary coordinates using image processing techniques.