An Efficient Block-Based Algorithm for Hair Removal in Dermoscopic Images

<p id="p1">Hair occlusion in dermoscopy images affects the diagnostic operation of the skin lesion. Segmentation and classification of skin lesions are two major steps of the diagnostic operation required by Dermatologists. We propose a new algorithm for hair removal in dermoscopy images that includ...

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Autor principal: Zaqout, Ihab
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Publicado: IntechOpen 2020
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Acceso en línea:https://www.intechopen.com/chapters/71069
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author Zaqout, Ihab
author_browse Zaqout, Ihab
author_facet Zaqout, Ihab
author_sort Zaqout, Ihab
building IntechOpen
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description <p id="p1">Hair occlusion in dermoscopy images affects the diagnostic operation of the skin lesion. Segmentation and classification of skin lesions are two major steps of the diagnostic operation required by Dermatologists. We propose a new algorithm for hair removal in dermoscopy images that includes two main stages: hair detection and inpainting. In hair detection, a morphological bottom-hat operation is implemented on Y-channel image of YIQ color space followed by a binarization operation. In inpainting, the repaired Y-channel is partitioned into 256 nonoverlapped blocks and for each block, white pixels are replaced by locating the highest peak of using a histogram function and a morphological close operation. Our proposed algorithm reports a true positive rate (sensitivity) of 97.36%, a false positive rate (fall-out) of 4.25%, and a true negative rate (specificity) of 95.75%. The diagnostic accuracy achieved is recorded at a high level of 95.78%.</p>
doi_str_mv 10.5772/intechopen.80024
first_indexed 2026-10-15T21:38:22Z
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fullrecord <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><identifier>intech-71069</identifier><datestamp>2020-02-12</datestamp> <dc:title>An Efficient Block-Based Algorithm for Hair Removal in Dermoscopic Images</dc:title> <dc:creator>Ihab Zaqout</dc:creator> <dc:subject>Physical Sciences, Engineering and Technology</dc:subject> <dc:description>&lt;p id="p1"&gt;Hair occlusion in dermoscopy images affects the diagnostic operation of the skin lesion. Segmentation and classification of skin lesions are two major steps of the diagnostic operation required by Dermatologists. We propose a new algorithm for hair removal in dermoscopy images that includes two main stages: hair detection and inpainting. In hair detection, a morphological bottom-hat operation is implemented on Y-channel image of YIQ color space followed by a binarization operation. In inpainting, the repaired Y-channel is partitioned into 256 nonoverlapped blocks and for each block, white pixels are replaced by locating the highest peak of using a histogram function and a morphological close operation. Our proposed algorithm reports a true positive rate (sensitivity) of 97.36%, a false positive rate (fall-out) of 4.25%, and a true negative rate (specificity) of 95.75%. The diagnostic accuracy achieved is recorded at a high level of 95.78%.&lt;/p&gt;</dc:description> <dc:publisher>IntechOpen</dc:publisher> <dc:date>2020-02-12</dc:date> <dc:type>Chapter, Part Of Book</dc:type> <dc:identifier>https://www.intechopen.com/chapters/71069</dc:identifier> <dc:identifier>doi:10.5772/intechopen.80024</dc:identifier> <dc:language>en</dc:language> <dc:relation>ISBN:978-1-83880-242-4</dc:relation> <dc:rights>https://creativecommons.org/licenses/by/3.0/</dc:rights> <dc:source>https://www.intechopen.com/books/6835 ; Computer Methods and Programs in Biomedical Signal and Image Processing</dc:source> </oai_dc:dc>
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spelling intech-710692020-02-12 An Efficient Block-Based Algorithm for Hair Removal in Dermoscopic Images Ihab Zaqout Physical Sciences, Engineering and Technology <p id="p1">Hair occlusion in dermoscopy images affects the diagnostic operation of the skin lesion. Segmentation and classification of skin lesions are two major steps of the diagnostic operation required by Dermatologists. We propose a new algorithm for hair removal in dermoscopy images that includes two main stages: hair detection and inpainting. In hair detection, a morphological bottom-hat operation is implemented on Y-channel image of YIQ color space followed by a binarization operation. In inpainting, the repaired Y-channel is partitioned into 256 nonoverlapped blocks and for each block, white pixels are replaced by locating the highest peak of using a histogram function and a morphological close operation. Our proposed algorithm reports a true positive rate (sensitivity) of 97.36%, a false positive rate (fall-out) of 4.25%, and a true negative rate (specificity) of 95.75%. The diagnostic accuracy achieved is recorded at a high level of 95.78%.</p> IntechOpen 2020-02-12 Chapter, Part Of Book https://www.intechopen.com/chapters/71069 doi:10.5772/intechopen.80024 en ISBN:978-1-83880-242-4 https://creativecommons.org/licenses/by/3.0/ https://www.intechopen.com/books/6835 ; Computer Methods and Programs in Biomedical Signal and Image Processing
spellingShingle Physical Sciences, Engineering and Technology
Zaqout, Ihab
An Efficient Block-Based Algorithm for Hair Removal in Dermoscopic Images
title An Efficient Block-Based Algorithm for Hair Removal in Dermoscopic Images
title_full An Efficient Block-Based Algorithm for Hair Removal in Dermoscopic Images
title_fullStr An Efficient Block-Based Algorithm for Hair Removal in Dermoscopic Images
title_full_unstemmed An Efficient Block-Based Algorithm for Hair Removal in Dermoscopic Images
title_short An Efficient Block-Based Algorithm for Hair Removal in Dermoscopic Images
title_sort efficient block based algorithm for hair removal in dermoscopic images
topic Physical Sciences, Engineering and Technology
url https://www.intechopen.com/chapters/71069
work_keys_str_mv AT zaqoutihab anefficientblockbasedalgorithmforhairremovalindermoscopicimages
AT zaqoutihab efficientblockbasedalgorithmforhairremovalindermoscopicimages