RGB Color Image Segmentation Using Quadtree Decomposition Algorithm
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This article explores the application of quadtree decomposition algorithm for segmenting RGB color images. This image processing-based technique finds applications in various fields including computer vision and image processing. To facilitate deeper understanding of the quadtree decomposition algorithm, we provide MATLAB code examples along with experimental images. The implementation demonstrates how the algorithm recursively divides images into quadrants based on homogeneity criteria, using functions like qtdecomp for region splitting and regionprops for analyzing segment properties. The code includes threshold configuration for variance-based splitting and handles RGB channels through color space conversions. This presentation will help readers comprehensively understand the algorithm's working mechanism and practical applications, providing new insights and considerations for image segmentation tasks.
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