Abstract
Abstract Conventional GrabCut algorithm is semi-automatic algorithm that user must be set rectangle window surrounds the object. This paper studied automatic object detection to solve these problem by detecting salient region based on Human Visual System. Saliency map is computed using Lab color space which is based on color opposing theory of 'red-green' and 'blue-yellow'. Then Saliency Points are computed from the boundaries of Low-Frequency region that are extracted from Saliency Map. Finally, Rectangle windows are obtained from coordinate value of Saliency Points and these windows are used in GrabCut algorithm to extract objects. Through various experiments, the proposed algorithm computing rectangle windows of salient region and extracting objects has been proved Key Words : Saliency Map, GrabCut, Gaussian Mixture Model(GMM), Window of GrabCut Production 본 논문은 2012년도 광운대학교 교내 학술 연구비 지원에 의해 연구되었음 . * 광운대학교 대학원 Kwangwoon University Graduate School ** 광운대학교 교양학부 Kwangwoon University Department of General Education교신저자 : 이상훈(leesh58@kw.ac.kr)논문접수: 2012년 8월 21일, 1차 수정을 거쳐, 심사완료: 2012년 9월 20일
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