| 微粒群算法在人脸检测预处理中的应用 |
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| 引用本文： | 刘娜. 微粒群算法在人脸检测预处理中的应用[J]. 计算机与数字工程, 2010, 38(9): 140-142,155 |
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| 作者姓名： | 刘娜 |
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| 作者单位： | 武汉理工大学华夏学院信息工程系,武汉,430223 |
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| 摘 要： | 微粒群算法是一种新型的智能优化算法,有较强的发现最优解的能力,且算法简单,易于实现。将微粒群算法应用于人脸检测的预处理中,运用该算法寻优阈值,旨在提高人脸检测的效率和精度。实验数据表明,该算法准确清晰地分割了人脸的皮肤区域与非皮肤区域,且分割效率和效果比单纯使用常用的二维最大熵分割算法更优化。
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| 关 键 词： | 微粒群算法 人脸检测 肤色分割 |
Application of PSO Algorithm in Pretreatment of Face Detection |
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| Liu Na. Application of PSO Algorithm in Pretreatment of Face Detection[J]. Computer and Digital Engineering, 2010, 38(9): 140-142,155 |
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| Authors: | Liu Na |
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| Affiliation: | Liu Na (Department of Information Engineering, Huaxia College Wuhan University of Technology, Wuhan 430223) |
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| Abstract: | Particle swarm optimization （PSO） algorithm is a new intelligent one with simple principle which is easy to implement. This paper applies PSO algorithm to pretreatment of face detection. In order to improve efficiency and accuracy of face detection. The data of experiment shows that the algorithm can separate skin and non-skin regions accurately, and then the result of segmentation is better than method using two-dimensional maximum entropy. |
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| Keywords: | particle swarm optimization （PSO） face detection skin-color segmentation |
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