Various Image Segmentation Algorithms
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Resource Overview
Implementation programs for multiple image segmentation algorithms, organized into categorized folders with functional descriptions and code specifications
Detailed Documentation
This project contains implementations of diverse image segmentation algorithms, systematically organized into distinct folders based on their functional categories. Each folder houses multiple programs designed to perform specific segmentation tasks. The implementations include threshold-based segmentation (using Otsu's method and adaptive thresholds), region-growing algorithms, watershed transformation with marker-controlled approaches, and edge detection techniques (Sobel, Canny). Key functions feature parameter optimization, morphological operations for post-processing, and connectivity analysis for region labeling. All code follows modular design principles with clear input/output interfaces for easy integration and testing.
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