Adaptive Circular Enclosure Color Distribution Geometrical Model Utilizing Point In-Polygon for Segregation between Lips and Skin Pixels

Lee Hao Wei; Seng Kah Phooi; Chia Wai Chong; Ang Li-Minn

doi:10.7763/IJFCC.2013.V2.160

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Journal article

Adaptive Circular Enclosure Color Distribution Geometrical Model Utilizing Point In-Polygon for Segregation between Lips and Skin Pixels

Lee Hao Wei, Seng Kah Phooi, Chia Wai Chong and Ang Li-Minn

International Journal of Future Computer and Communication, Vol.2(3), pp.242-245

2013

DOI: https://doi.org/10.7763/IJFCC.2013.V2.160

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Abstract

Boundary points

circular expansion

color space

geometrical distribution model

lip segmentation

point-in- polygon

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%.

Details

Title: Adaptive Circular Enclosure Color Distribution Geometrical Model Utilizing Point In-Polygon for Segregation between Lips and Skin Pixels
Authors: Lee Hao Wei (Author) - University of Nottingham
Seng Kah Phooi (Author) - University of Tasmania
Chia Wai Chong (Author) - University of Nottingham
Ang Li-Minn (Author) - Edith Cowan University
Publication details: International Journal of Future Computer and Communication, Vol.2(3), pp.242-245
Publisher: International Association of Computer Science and Information Technology (I A C S I T)
DOI: 10.7763/IJFCC.2013.V2.160
Organisation Unit: Engage Research Lab; University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering
Language: English
Record Identifier: 99642475802621
Output Type: Journal article

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