| Title |
Color Image Segmentations of a Vitiligo Skin Image with Android Platform Smartphone |
| Authors |
박상은(Park, Sang-Eun) ; 김현태(Kim, Hyun-Tae) ; 김정환(Kim, Jeong-Hwan) ; 김경섭(Kim, Kyeong-Seop) |
| DOI |
https://doi.org/10.5370/KIEE.2014.63.1.173 |
| Keywords |
Color image ; RGB ; HSI ; Smartphone ; Vitiligo ; Morphology |
| 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. |