Call Number Text Image Segmentation with HSI Color Space Conversion and Edge Detection
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Detailed Documentation
This project implements call number text image segmentation through multiple processing stages including HSI color space conversion, Canny operator edge detection, and color-based segmentation of call number edge points. The implementation involves converting RGB images to HSI color space to better separate luminance and chrominance components, followed by Canny edge detection to identify text boundaries with optimal parameter settings for threshold values. The color segmentation algorithm then processes edge points to isolate call number regions based on specific color characteristics. The experimental process utilizes source code files and sample images to demonstrate the complete workflow, with key functions handling color space transformation, gradient calculation, non-maximum suppression, and hysteresis thresholding for robust edge detection.
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