Presentation + Paper
14 March 2023 True digital hair removal with real value inpainting for improved dermoscopy based on image fusion
Author Affiliations +
Abstract
We propose a method for digital hair removal from dermoscopic images that involves a new scheme for the acquisition of dermoscopic images to uncover hidden information by employing image fusion of multiple images of lesions. Classical approaches for the removal of hair from dermoscopic images are usually based on interpolation, pattern propagation or machine learning. These replace the hair pixels with calculated data aiming to reduce the impairment of the medical diagnostics. While these approaches are well established, the problem of information loss is not addressed. We show that our approach can lead to improved skin lesion assessment in dermoscopy.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lennart Jütte, Steffen Emmert, and Bernhard Roth "True digital hair removal with real value inpainting for improved dermoscopy based on image fusion", Proc. SPIE 12352, Photonics in Dermatology and Plastic Surgery 2023, 1235202 (14 March 2023); https://doi.org/10.1117/12.2646227
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KEYWORDS
Image fusion

Skin

Image segmentation

Machine learning

Data acquisition

Melanoma

Cancer detection

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