Facial Image Extraction Through Color Mapping Techniques

By:
Ruba Soundar Kathavarayan,
RUBA Soundar,
Sivaranjani Sundarraj
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This paper addresses our proposed method to automatically segment out a person’s face from a given image that consists of a head-and-shoulders view of the person and a complex background scene. The method involves a fast, reliable, and effective algorithm that exploits the spatial distribution characteristics of human skin color. A universal skin-color map is derived and used on the chrominance component of the input image to detect pixels with skin-color appearance. Then, based on the spatial distribution of the detected skin-color pixels and their corresponding luminance values, the algorithm employs a set of novel regularization processes to reinforce regions of skin color pixels that are more likely to belong to the facial regions and eliminate those that are not. The performance of the face segmentation algorithm is illustrated by some simulation results carried out on various head-and-shoulders test images.


Keywords: Color Image Processing, Face Location, Facial Image Analysis
Stream: Technology in Community
Presentation Type: Paper Presentation in English
Paper: Facial Image Extraction Through Color Mapping Techniques


Ruba Soundar Kathavarayan

Lecturer, Computer Science and Engineering, Mepco Schlenk Engineering College
India

Having rich experiece in the area of face segmentation and image processing applications.

RUBA Soundar

ME Student, Computer Science and Engineering Department, Mepco Schlenk Engineering College
India

Having Rich experience in Image Processing.

Sivaranjani Sundarraj

ME Student, Computer Science and Engineering Department, Mepco Schlenk Engineering College
India

Having rich working experience in the field of Watermarking, Image Extraction.

Ref: T06P0278