Genetic Algorithm -Based Color Space Generation

被引：0
|
作者：
Hosseini, S. M. [1 ]
Akbarpoor, S.
Amjadi, S. [1 ]
Mirsalari, H. [1 ]
机构：
[1] Univ Birjand, Dept Engn, Birjand, Iran
来源：
PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND APPLICATIONS | 2009年
关键词：
Genetic Algorithm; Color space; convex constraint programming; Lip detection; clustering criteria; SEGMENTATION; ILLUMINATION; CONTRIBUTE; CONES;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Many color spaces can be creating by linear transformations that are captured by 3x3 matrices from others. The Main target of this paper is introducing new color transform that Lip detection is used as benchmark problem for this color space. In the New color space, the Lip and non-Lip classes are separated as well. This problem is converted to a convex constraint programming which Genetic Algorithm is used for solving this problem. Founded converting matrix is tested in Lip detection in simple to complex scene. Obtained results over many databases are compared with existing methods which show superiority of the proposed method.
引用
收藏
页码：206 / 211
页数：6
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