Skin Detection Using Color Distance Measurement and Thresholding 
Dolly Indra1, Lilis Nur Hayati2
1Dolly Indra, Faculty of Computer Science, Universitas Muslim Indonesia, Makassar, Indonesia.
2Lilis Nur Hayati, Faculty of Computer Science, Universitas Muslim Indonesia, Makassar, Indonesia.
Manuscript received on 03 September 2019 | Revised Manuscript received on 13 September 2019 | Manuscript Published on 23 September 2019 | PP: 1441-1443 | Volume-8 Issue-5C, May 2019 | Retrieval Number: E12090585C19/19©BEIESP | DOI: 10.35940/ijeat.E1209.0585C19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Segmentation is a process to extract the objects in an image. In this study, segmentation process is used to perform skin detection which aims to detect skin pixels and areas in an image. Pixel-based measures is used in the similarity measurement model in image area segmentation to detect skin and non-skin areas in 3 color spaces i.e. RGB with Euclidean distance, HSV with Dcyl distance, HCL with DHCL distance and the thresholding value as the limit of the similarity between two colors. The results of this study indicate that color space segmentation process using thresholding value (Th ≦ 80 and Th ≦ 100) for HSV and HCL provide superior segmentations.
Keywords: Segmentation, RGB, HSV, HCL, Threshold, Euclidean Distance, Dcyl Distance, DHCL Distance.
Scope of the Article: Measurement & Performance Analysis