Dullrazor: A software approach to hair removal from images. Recently, there has been an increase in the number of studies using image processing techniques to analyze melanocytic lesions for atypia and possible malignancy, and for total-body mole mapping. Such lesions, however, can be partially obscured by body hair; and, to date, no study has fully addressed the problem of human hair occluding imaged lesions. In a previous study we designed an automatic segmentation program to differentiate skin lesions from normal healthy skin. Our program performed well with most images — the exception being images where dark thick hair covers part of the lesions. Dark hair confused the program which resulted in unsatisfactory segmentation results.
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Ferri, Massimo; Tomba, Ivan; Visotti, Andrea; Stanganelli, Ignazio: A feasibility study for a persistent homology-based $k$-nearest neighbor search algorithm in melanoma detection (2017)
- Koehoorn, Joost; Sobiecki, C.; Boda, Daniel; Diaconeasa, Adriana; Doshi, Susan; Paisey, Stephen; Jalba, Andrei; Telea, Alexandru: Automated digital hair removal by threshold decomposition and morphological analysis (2015)
- Thon, Kevin; Rue, Håvard; Skrøvseth, Stein Olav; Godtliebsen, Fred: Bayesian multiscale analysis of images modeled as Gaussian Markov random fields (2012)
- Yuan, Xiaojing; Situ, Ning; Zouridakis, George: A narrow band graph partitioning method for skin lesion segmentation (2009)