Using Morphological Operators and Inpainting for Hair Removal in Dermoscopic Images

The document describes a new algorithm for removing hair from dermoscopic images, which is important for melanoma diagnosis. This algorithm uses image processing techniques such as median filtering, morphological operations, and harmonic inpainting. It was tested on the PH² dataset and showed better performance than the existing DullRazor software, with a higher Peak Signal-to-Noise Ratio (PSNR) of 33.41 compared to DullRazor's 32.44. Although the algorithm had some failure cases, it generally resulted in fewer false positives and is considered effective for hair removal, which is a crucial pre-processing step in skin lesion analysis. Future improvements could include more advanced hair detection and image completion methods. The document, however, lacks specific numerical results or the number of images tested to fully assess the study's strength.