区域分割 Resources

Showing items tagged with "区域分割"

This MATLAB program demonstrates quadtree-based region segmentation for image processing. The quadtree method recursively divides an image into four regions, and each region is further subdivided into four sub-regions. The implementation utilizes key functions including qtdecomp() for decomposition analysis, qtgetblk() for block extraction, and qtsetblk() for block modification operations, providing valuable reference material for learning computational image segmentation techniques.

MATLAB 277 views Tagged
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A program designed for image category recognition that performs region matching between images based on preliminary segmentation results, implementing computer vision algorithms for accurate classification.

MATLAB 198 views Tagged
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Image segmentation refers to the technique and process of dividing an image into specific regions with distinct properties and extracting regions of interest. It serves as a critical step bridging image processing and image analysis. Existing segmentation methods primarily fall into these categories: threshold-based methods, region-based methods, edge-based methods, and theory-specific methods. Since 1998, researchers have continuously improved traditional segmentation approaches and incorporated new theories/methods from other disciplines, proposing numerous innovative segmentation techniques. Objects extracted through segmentation can be applied to fields like image semantic recognition, image search, and beyond.

MATLAB 212 views Tagged
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This program covers fundamental MATLAB image segmentation techniques including: edge-based segmentation methods, threshold-based segmentation approaches, and region-based segmentation algorithms with practical implementation examples.

MATLAB 209 views Tagged
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