Skin Detection Using Color Distance Measurement And Thresholding

Indra, Dolly (2019) Skin Detection Using Color Distance Measurement And Thresholding. International Journal of Engineering and Advanced Technology (IJEAT), 8 (5). pp. 1441-1443. ISSN 22498958

	Text (FILE JURNAL) Jurnal_Skin Detection Using Color Distance Measurement And Thresholding.pdf Download (429kB)
	Text (PEER REVIEW) Peer Reviewer_Skin Detection Using Color Distance Measurement And Thresholding.pdf Download (1MB)
	Text (SIMILARITY) Skin Detection Using Color Distance Measurement And Thresholding.pdf Download (1MB)

Official URL: https://www.ijeat.org/wp-content/uploads/papers/v8...

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

Item Type:	Article
Subjects:	T Technology > T Technology (General)
Divisions:	FAKULTAS ILMU KOMPUTER > TEKNIK INFORMATIKA
Depositing User:	Unnamed user with email admin@umi.ac.id
Date Deposited:	12 Apr 2021 03:18
Last Modified:	21 Jul 2021 01:32
URI:	http://repository.umi.ac.id/id/eprint/255

Actions (login required)

View Item