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http://dx.doi.org/10.9717/kmms.2019.22.1.027

Analysis of CIELuv Color feature for the Segmentation of the Lip Region  

Kim, Jeong Yeop (School of Sungsim College of General Education, Youngsan University)
Publication Information
Journal of Korea Multimedia Society / v.22, no.1, 2019 , pp. 27-34 More about this Journal
Abstract
In this paper, a new type of lip feature is proposed as distance metric in CIELUV color system. The performance of the proposed feature was tested on face image database, Helen dataset from University of Illinois. The test processes consists of three steps. The first step is feature extraction and second step is principal component analysis for the optimal projection of a feature vector. The final step is Otsu's threshold for a two-class problem. The performance of the proposed feature was better than conventional features. Performance metrics for the evaluation are OverLap and Segmentation Error. Best performance for the proposed feature was OverLap of 65% and 59 % of segmentation error. Conventional methods shows 80~95% for OverLap and 5~15% of segmentation error usually. In conventional cases, the face database is well calibrated and adjusted with the same background and illumination for the scene. The Helen dataset used in this paper is not calibrated or adjusted at all. These images are gathered from internet and therefore, there are no calibration and adjustment.
Keywords
Color Feature Analysis; Lip Detection; Lip Segmentation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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