A novel skin detection method using Generalized Discriminant Analysis

Fahimeh Salimi, Hadi Farzin, Farzad Ebrahimi
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引用次数: 1

Abstract

In this work, a novel method for skin detection in color images is proposed. For this purpose, three different types of kernel functions are applied within the framework of the Generalized Discriminant Analysis (GDA) algorithm in the YCbCr color space. The performance of the resulting system is evaluated using the Compaq database. Our experiments show that by adopting the proposed approach, the correct detection rate of the skin detection system will improve.
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一种基于广义判别分析的皮肤检测新方法
本文提出了一种新的彩色图像皮肤检测方法。为此,在YCbCr颜色空间的广义判别分析(GDA)算法框架内应用了三种不同类型的核函数。使用康柏数据库对最终系统的性能进行评估。实验表明,采用该方法可以提高皮肤检测系统的正确检出率。
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