PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
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.
Lennart Jütte,Steffen Emmert, andBernhard 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
ACCESS THE FULL ARTICLE
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
Lennart Jütte, Steffen Emmert, 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