摘要
动态图象分割是计算机视觉分析中一个重要和困难的任务。该文讨论了一种基于CAMSHIFT算法和形态学的动态跟踪分割。首先把采集到的图象由RGB色彩空间转换到HSV色彩空间,因为肤色对HSV色彩空间的H色调具有恒常性。其后在HSV颜色空间建立肤色直方图模型,确定肤色概率度,运用CAMSHIFT算法对人手动态跟踪,然后运用形态学重构闭运算去除空洞和噪声。实验证明该方法能够有效的实现了人手的动态分割。
Image segmentation is an important step of low level vision analyzing.In this paper,we discussed a method on dynamic segmentation of hand using the CAMSHIFT algorithm and morphological operators.As a first step,image is converted into HSV space from RGB space,the reason of doing that is the hue of skin-color in HSV space having invariability.And then we set up histogram model of skin-color and ensure the value of probabilities of skin-color for carrying out hand dynamic tracing.Moreover the holes and noise of the images are removed by using morphological reconstruction and close operation, this make dynamic segmentation of hand do effectively.
出处
《影像技术》
CAS
2007年第3期23-26,共4页
Image Technology
关键词
动态分割
肤色模型
孔洞
色彩空间
Dynamic segmentation
Skin model
Hole
Color space
