摘要
去噪滤波技术是数字图像处理中的一个重要内容,是计算机视觉技术、模式识别、图像数据分析的基础,因而受到广泛的研究;并在人脸识别、表情识别、遥感成像等领域获得广泛的应用。通过对多种去噪滤波算法进行比较,选定了一种改进的二维中值滤波快速算法将其应用到表情识别中,得到较好效果。
Denoising and fiher technology is a main content of image processing technology, and it is the base of computer vision technique, pattern recognition,analysis of image data, which has been studied extensively and widely applicated in facial recognition, expression recognition, remote sensing imaging and so on . In this paper, it was proved that an improved fast 2-D media filter algorithm had potential to improve the expression recognition by a comparison between several denoising and filtering algorithms.
出处
《农业网络信息》
2012年第6期26-28,共3页
Agriculture Network Information
基金
山西农业大学青年科技创新基金(编号2009009)
关键词
去噪滤波
中值滤波
二维中值滤波快速算法
表情识别
denoising and filter
adaptive median filtering
fast 2-d media filter algorithm
expression recognition