彩色人脸图像唇形检测的一种高效算法

Behrooz Zali-Vargahan, H. Kalbkhani, M. Shayesteh
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引用次数: 5

摘要

本文提出了一种新的彩色人脸图像唇区识别算法。唇形检测应用于人脸检测、唇读、语音识别等领域。我们的算法选择合适的颜色空间和饱和度分量,以更好地分离皮肤像素和嘴唇像素。我们考虑图像的下半部分。我们提出了一种改进的lip - map算法来寻找唇区。然后利用小波变换降低噪声的影响。其次,通过考虑唇面积不同分段的方差,得到唇的位置;我们通过Top-Hat变换和区域生长算法从皮肤像素中提取唇像素。为了评估算法的性能,我们使用了四个数据库CVL, IMM, GTAV和CID,其中人脸图像的大小和人脸的旋转是可变的。实验结果表明,该算法具有较好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An efficient algorithm for lip detection in color face images
In this paper, we present a new algorithm for finding lip area in color face images. Lip detection is used in many applications such as face detection, lip reading, and speech recognition. Our algorithm selects proper color space and saturation component for better separation of skin pixels from lip pixels. We consider the lower half part of image. We propose a modified Lip-Map algorithm to find lip area. Then, we apply wavelet transform to reduce the effect of noise. Next, the location of lips is obtained by considering the variance of different segments of lip area. We extract lip pixels from skin pixels by Top-Hat transform and region growing algorithm. To evaluate the performance of the proposed algorithm, we use four databases named as CVL, IMM, GTAV, and CID, in which the size of face image and the rotation of face are variable. Experimental results demonstrate that the proposed algorithm has better performance than previously presented methods.
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