Abstract—This paper is inspired from various boundary determination techniques which are used for segregating colours between background, skin and lips. Basic concept for this technique is based on colour segmentation with CIELAB colour-space utilized for justifiable reasons. Using LAB colour space, lips colours were compiled into a colour-map and processed accordingly to our proposed algorithm of adaptive circular enclosure. Algorithm output was determined as a series of coordinates symbolizing boundary values surrounding colour-map. Separation of colours is based on these boundaries by creating a freeform polygon that defines if colour-value either belongs within colour-boundary polygon or not. This technique is famously known as the point in-polygon technique. Proposed technique evaluation uses XM2VTS database based on false-positive and false-negative to compute segmentation error. Simulation shows proposed algorithm yields segmented error of 5.55% with accuracy of 94.45%.
—Boundary points, circular expansion, color space, geometrical distribution model, lip segmentation, point-in- polygon.
Hao Wei Lee and Wai Chong Chia are with the University of Nottingham (e-mail: firstname.lastname@example.org).
Kah Phooi Seng was with the University of Tasmania, Australia.
Li-Minn Ang is with the Edith Cowan University, Australia.
Cite: Lee Hao Wei, Seng Kah Phooi, Chia Wai Chong, and Ang Li-Minn, "Adaptive Circular Enclosure Color Distribution Geometrical Model Utilizing Point In-Polygon for Segregation between Lips and Skin Pixels," International Journal of Future Computer and Communication
vol. 2, no. 3 pp. 242-245, 2013.