Polyp Segmentation Using Wavelet-Based Cross-Band Integration for Enhanced Boundary Representation
Accurate polyp segmentation is essential for early colorectal cancer detection, yet achieving reliable boundary localization remains challenging due to low mucosal contrast, uneven illumination, and color similarity between polyps and surrounding tissue. Conventional methods relying solely on RGB information often struggle to delineate precise boundaries due to weak contrast and ambiguous structures between polyps and surrounding mucosa. To establish a quantitative foundation for this limitation, we analyzed polyp-background contrast in the wavelet domain, revealing that grayscale representations consistently preserve higher boundary contrast than RGB images across all frequency bands. Th...
| Authors | Haesung Oh, Jaesung Lee |
|---|---|
| Primary category | eess.IV |
| Published | 4 March 2026 |
| Last updated at source | 4 March 2026 |
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