Automatic Facial Skin Segmentation Using Possibilistic C-Means Algorithm for Evaluation of Facial Surgeries

<!DOCTYPE html> <html lang="en" dir="ltr"> <head>  <script async src="https://www.googletagmanager.com/gtag/js?id=G-P63WKM1TM1"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-P63WKM1TM1'); </script>  <script type="text/javascript" > (function(m,e,t,r,i,k,a){m[i]=m[i]||function(){(m[i].a=m[i].a||[]).push(arguments)}; m[i].l=1*new Date(); for (var j = 0; j < document.scripts.length; j++) {if (document.scripts[j].src === r) { return; }} k=e.createElement(t),a=e.getElementsByTagName(t)[0],k.async=1,k.src=r,a.parentNode.insertBefore(k,a)}) (window, document, "script", "https://mc.yandex.ru/metrika/tag.js", "ym"); ym(55165297, "init", { clickmap:false, trackLinks:true, accurateTrackBounce:true, webvisor:false }); </script> <noscript><div><img src="https://mc.yandex.ru/watch/55165297" style="position:absolute; left:-9999px;" alt="" /></div></noscript>    <title>Automatic Facial Skin Segmentation Using Possibilistic C-Means Algorithm for Evaluation of Facial Surgeries</title> <meta name="description" content="Automatic Facial Skin Segmentation Using Possibilistic C-Means Algorithm for Evaluation of Facial Surgeries"> <meta name="keywords" content="Facial image, segmentation, PCM, FCM, skin error, facial surgery."> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <meta name="citation_title" content="Automatic Facial Skin Segmentation Using Possibilistic C-Means Algorithm for Evaluation of Facial Surgeries"> <meta name="citation_author" content="Elham Alaee"> <meta name="citation_author" content="Mousa Shamsi"> <meta name="citation_author" content="Hossein Ahmadi"> <meta name="citation_author" content="Soroosh Nazem"> <meta name="citation_author" content="Mohammadhossein Sedaaghi"> <meta name="citation_publication_date" content="2014/05/01"> <meta 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Possibilistic C-Means Algorithm for Evaluation of Facial Surgeries</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Elham%20Alaee">Elham Alaee</a>, <a href="https://publications.waset.org/search?q=Mousa%20Shamsi"> Mousa Shamsi</a>, <a href="https://publications.waset.org/search?q=Hossein%20Ahmadi"> Hossein Ahmadi</a>, <a href="https://publications.waset.org/search?q=Soroosh%20Nazem"> Soroosh Nazem</a>, <a href="https://publications.waset.org/search?q=Mohammadhossein%20Sedaaghi"> Mohammadhossein Sedaaghi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>Human face has a fundamental role in the appearance of individuals. So the importance of facial surgeries is undeniable. Thus, there is a need for the appropriate and accurate facial skin segmentation in order to extract different features. Since Fuzzy CMeans (FCM) clustering algorithm doesn’t work appropriately for noisy images and outliers, in this paper we exploit Possibilistic CMeans (PCM) algorithm in order to segment the facial skin. For this purpose, first, we convert facial images from RGB to YCbCr color space. To evaluate performance of the proposed algorithm, the database of Sahand University of Technology, Tabriz, Iran was used. In order to have a better understanding from the proposed algorithm; FCM and Expectation-Maximization (EM) algorithms are also used for facial skin segmentation. The proposed method shows better results than the other segmentation methods. Results include misclassification error (0.032) and the region’s area error (0.045) for the proposed algorithm.</p> <iframe src="https://publications.waset.org/9998526.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Facial%20image" title="Facial image">Facial image</a>, <a href="https://publications.waset.org/search?q=segmentation" title=" segmentation"> segmentation</a>, <a href="https://publications.waset.org/search?q=PCM" title=" PCM"> PCM</a>, <a href="https://publications.waset.org/search?q=FCM" title=" FCM"> FCM</a>, <a href="https://publications.waset.org/search?q=skin%20error" title=" skin error"> skin error</a>, <a href="https://publications.waset.org/search?q=facial%20surgery." title=" facial surgery."> facial surgery.</a> </p> <p class="card-text"><strong>Digital Object Identifier (DOI):</strong> <a href="https://doi.org/10.5281/zenodo.1093231" target="_blank">doi.org/10.5281/zenodo.1093231</a> </p> <a href="https://publications.waset.org/9998526/automatic-facial-skin-segmentation-using-possibilistic-c-means-algorithm-for-evaluation-of-facial-surgeries" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/9998526/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/9998526/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/9998526/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/9998526/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/9998526/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/9998526/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/9998526/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/9998526/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/9998526/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/9998526/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/9998526.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">1990</span> </span> <p class="card-text"><strong>References:</strong></p> <br>[1] M.Gomathi, P.Thanagaraj, "A New Approach to Lung Image Segmentation using Fuzzy Possibilistic C-Means Algorithm”, International Journal of Computer Science and information Security, vol.7, no. 3, March 2010. <br>[2] W.Bu, K.Wang, X.Wu, X.Cui, and Q.Zhao, "Hand Segmentation for Hand_based Biometrics in Complex Environments”, Journal of Software, vol. 8, no. 10, October 2013. <br>[3] N.A. Ibraheem, R. Z. Khan, and M. M. Hasan, "Comparative Study of skin Color based Segmentation Techniques”, International Journal of Applied Information Systems (IJAIS), New York,USA, vol. 5, no. 10, August 2013. <br>[4] B. Wang, X. Chang, C. Liu, "Skin Detection and Segmentation of Human Face in Color Images”, International Journal of Intelligent Engineering and Systems, vol. 4, no. 1, 2011. <br>[5] M. A. Bakhshali and M. Shamsi, "Facial Skin Segmentation Using Bacterial Foraging Optimization Algorithm”, Journal of Medical Signals & Sensors, vol. 2, issue. 4, October 2012. <br>[6] M. Shamsi, R. A. zoroofi, C. Lucas, M. S. Hasanabadi, and M.R. Asharif, "Automatic facial skin segmentation based on EM algorithm under varying illumination”, IEICE Transaction on information and systems, vol. 91, No. 5, May 2008. <br>[7] M. A. Bakhshali, M. Shamsi, A. Golzarfar, "Facial Skin Segmentation with Varying Illumination Correction for Evaluationof Facial Surgery Systems”, 2012 IEEE Symposium on Industrial Electronics and Applications(ISIEA2012), Bandung, Indonesia, September 23-26, 2012. <br>[8] R. Krishnapuram and J. Keller, "A possibilistic approach to clustering”, IEEE Trans. Fuzzy Syst.,vol. 1, pp. 98-110, May 1993. <br>[9] R. Krishnapuram, and J. M. Keller, "The Possibilistic C-Means Algorithm: Insights and Recommendations”, IEEE Trans. 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Automatic Facial Skin Segmentation Using Possibilistic C-Means Algorithm for Evaluation of Facial Surgeries