Browse > Article
http://dx.doi.org/10.5370/KIEE.2014.63.1.173

Color Image Segmentations of a Vitiligo Skin Image with Android Platform Smartphone  

Park, Sang-Eun (School of Biomedical Eng., Konkuk University)
Kim, Hyun-Tae (School of Biomedical Eng., Konkuk University)
Kim, Jeong-Hwan (School of Biomedical Eng., Konkuk University)
Kim, Kyeong-Seop (School of Biomedical Eng., Research Institute of Biomedical Eng., Konkuk University)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.63, no.1, 2014 , pp. 173-178 More about this Journal
Abstract
In this study, the new color image processing algorithms with an android-based mobile device are developed to detect the abnormal color densities in a skin image and interpret them as the vitiligo lesions. Our proposed method is firstly based on transforming RGB data into HSI domain and segmenting the imag into the vitiligo-skin candidates by applying Otsu's threshold algorithm. The structure elements for morphological image processing are suggested to delete the spurious regions in vitiligo regions and the image blob labeling algorithm is applied to compare RGB color densities of the abnormal skin region with them of a region of interest. Our suggested color image processing algorithms are implemented with an android-platform smartphone and thus a mobile device can be utilized to diagnose or monitor the patient's skin conditions under the environments of pervasive healthcare services.
Keywords
Color image; RGB; HSI; Smartphone; Vitiligo; Morphology;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 A. Marshall, O. Medvedev, and A. Antonov, "Use of a Smartphone for Improved Self-Management of Pulmonary Rehabilitation," International Journal of Telemedicine and Application, Vol.2008, ID 753064.
2 L. J. Haddock, D. Y. Kim, and S. Mukai, "Simple, Intensive Technique for High-Quality Smartphone Funds Photography in Human and Animal Eyes," International Journal of Telemedicine and Application, Vol.2013, ID 518479.
3 G. Fabbrocini, V. D. Vita, V. D'Arco, C. Mazzella, M. C. Annunziata, S. Cacciapuoti, M. C. Maurello, and A. Monfrecola, "Teledermatology: From Prevention to Diagnosis of Nonmelanoma and Melanoma Skin Cancer," International Jourmal of Telemedicine and Application, Vol.2011, Article ID 125762.
4 V. Vezhnevets, V. Sazonov, A. Andreeva, "A Survey on Pixel-Based Skin Color Detection Techniques," Graphicon-2003, pp.85-92.
5 N. Otsu, "A Threshold Selection Method from Gray-Level Histograms," IEEE Transactions On Systems, Man, And Cybernetics, pp.62-66, Vol.SMC-9, 1979.
6 Y. S. Izmantoko, H. K. Choi, "Time Complexity Measurement on CUDA-based GPU Parallel Architecture of Morphology Operation," Journal of Korea Multimedia Society, Vol.16, No.4, 2013, pp.444-452.   DOI   ScienceOn