Literature DB >> 9437554

DullRazor: a software approach to hair removal from images.

T Lee1, V Ng, R Gallagher, A Coldman, D McLean.   

Abstract

Recently, there has been a growing number of studies applying image processing techniques to analyze melanocytic lesions for atypia and possible malignancy and for total-body mole mapping. However, such lesions can be partially obscured by body hairs. None of these studies has fully addressed the problem of human hairs occluding the imaged lesions. In our previous study we designed an automatic segmentation program to differentiate skin lesions from the normal healthy skin, and learned that the program performed well with most of the images, the exception being those with hairs, especially dark thick hairs, covering part of the lesions. These thick dark hairs confused the program, resulting in unsatisfactory segmentation results. In this paper, we present a method to remove hairs from an image using a pre-processing program we have called DullRazor. This pre-processing step enables the segmentation program to achieve satisfactory results. DullRazor can be downloaded as shareware from http:/(/)www.derm.ubc.ca.

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Mesh:

Year:  1997        PMID: 9437554     DOI: 10.1016/s0010-4825(97)00020-6

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


  34 in total

1.  Detection of pigment network in dermatoscopy images using texture analysis.

Authors:  Murali Anantha; Randy H Moss; William V Stoecker
Journal:  Comput Med Imaging Graph       Date:  2004-07       Impact factor: 4.790

2.  A methodological approach to the classification of dermoscopy images.

Authors:  M Emre Celebi; Hassan A Kingravi; Bakhtiyar Uddin; Hitoshi Iyatomi; Y Alp Aslandogan; William V Stoecker; Randy H Moss
Journal:  Comput Med Imaging Graph       Date:  2007-03-26       Impact factor: 4.790

3.  Unsupervised border detection in dermoscopy images.

Authors:  M Emre Celebi; Y Alp Aslandogan; William V Stoecker; Hitoshi Iyatomi; Hiroshi Oka; Xiaohe Chen
Journal:  Skin Res Technol       Date:  2007-11       Impact factor: 2.365

4.  Independent histogram pursuit for segmentation of skin lesions.

Authors:  David Delgado Gómez; Constantine Butakoff; Bjarne Kjaer Ersbøll; William Stoecker
Journal:  IEEE Trans Biomed Eng       Date:  2008-01       Impact factor: 4.538

Review 5.  Distribution quantification on dermoscopy images for computer-assisted diagnosis of cutaneous melanomas.

Authors:  Zhao Liu; Jiuai Sun; Lyndon Smith; Melvyn Smith; Robert Warr
Journal:  Med Biol Eng Comput       Date:  2012-03-22       Impact factor: 2.602

6.  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

7.  Detection of solid pigment in dermatoscopy images using texture analysis.

Authors:  Anantha Murali; William V. Stoecker; Randy H. Moss
Journal:  Skin Res Technol       Date:  2000-11       Impact factor: 2.365

8.  A soft kinetic data structure for lesion border detection.

Authors:  Sinan Kockara; Mutlu Mete; Vincent Yip; Brendan Lee; Kemal Aydin
Journal:  Bioinformatics       Date:  2010-06-15       Impact factor: 6.937

9.  Approximate lesion localization in dermoscopy images.

Authors:  M Emre Celebi; Hitoshi Iyatomi; Gerald Schaefer; William V Stoecker
Journal:  Skin Res Technol       Date:  2009-08       Impact factor: 2.365

Review 10.  Lesion border detection in dermoscopy images.

Authors:  M Emre Celebi; Hitoshi Iyatomi; Gerald Schaefer; William V Stoecker
Journal:  Comput Med Imaging Graph       Date:  2009-01-03       Impact factor: 4.790

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