人脸表情识别中滤波算法的研究

Research of Filter Algorithm in Facial Expression Recognition

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.