Literature DB >> 21316042

E-shaver: an improved DullRazor(®) for digitally removing dark and light-colored hairs in dermoscopic images.

Kimia Kiani1, Ahmad R Sharafat.   

Abstract

We present an efficient and improved method for hair removal from dermoscopic images, which is faster and can remove hairs more effectively as compared to the existing and widely used DullRazor(®). To do so, we first detect the predominant orientation of hairs in the image by using Radon transform, followed by filtering the image by Prewitt filters using the orientation of existing hairs. Undesirable effects, such as non-hair structures and noise are removed from the image by thresholding-averaging-thresholding, followed by smoothing. The proposed scheme has the advantage of removing bubbles, as well. Implementation of our proposed scheme on different dermoscopic images validates its improved performance.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21316042     DOI: 10.1016/j.compbiomed.2011.01.003

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  6 in total

1.  Hair detection and lesion segmentation in dermoscopic images using domain knowledge.

Authors:  Sameena Pathan; K Gopalakrishna Prabhu; P C Siddalingaswamy
Journal:  Med Biol Eng Comput       Date:  2018-05-15       Impact factor: 2.602

2.  Quantifying acceptable artefact ranges for dermatologic classification algorithms.

Authors:  T C Petrie; C Larson; M Heath; R Samatham; A Davis; E G Berry; S A Leachman
Journal:  Skin Health Dis       Date:  2021-03-19

3.  Noninvasive Real-Time Automated Skin Lesion Analysis System for Melanoma Early Detection and Prevention.

Authors:  Omar Abuzaghleh; Buket D Barkana; Miad Faezipour
Journal:  IEEE J Transl Eng Health Med       Date:  2015-04-03       Impact factor: 3.316

Review 4.  Artificial intelligence in dermatology and healthcare: An overview.

Authors:  Varadraj Vasant Pai; Rohini Bhat Pai
Journal:  Indian J Dermatol Venereol Leprol       Date:  2021 [SEASON]       Impact factor: 2.545

5.  Differentiation of benign pigmented skin lesions with the aid of computer image analysis: a novel approach.

Authors:  Jae Woo Choi; Young Woon Park; Sang Young Byun; Sang Woong Youn
Journal:  Ann Dermatol       Date:  2013-08-13       Impact factor: 1.444

6.  Noise Removal in Dermoscopic Images Using a Novel Software.

Authors:  Parameshwar R Hegde; Manjunath M Shenoy; B H Shekar
Journal:  Indian Dermatol Online J       Date:  2017 Nov-Dec
  6 in total

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