基于多色彩空间的自适应嘴唇区域定位算法

Adaptive mouth region detection algorithm based on multi-color spaces

提出了一种基于多色彩空间的自适应嘴唇区域定位算法。该算法结合RGB色彩空间彩色梯度信息与HSV空间色调、饱和度分量的阈值分割,并根据嘴唇在脸部的位置特性进行自适应嘴唇基准线的自动定位,最终用投影法检测出嘴部所在的矩形区域。实验结果表明该算法简单易实现,具有较高的鲁棒性,能快速准确地框定嘴部区域,为后期的唇读特征提取奠定良好的基础。

Mouth region detection is the prerequisite of lipreading. In this paper, an adaptive mouth region detection algorithm was proposed based on multi-color spaces. The algorithm combined color edge detection in RGB color space and threshold segmentation in HSV color space. Furthermore, according to the mouth position of the face, an adaptive lip localization method was introduced to detect the position of mouth baseline automatically. Then the rectangular area of mouth region was detected by projection method. Experimental results show that the proposed algorithm can locate mouth region fast, accurately and robustly.