摘要
为实现视觉伺服中对图像的实时处理,针对由RGB颜色空间模型转换到HSV颜色空间模型过程计算量大、时延明显的问题,提出了一种基于自定义的H～SV颜色空间模型的快速变换方法,减小了计算量,提高了处理速度;并采用一种对不同颜色分量进行序列分割的彩色图像分割方法,在自定义的H～SV颜色空间中实现了彩色图像的快速分割。实验证明了这种方法的有效性。
In order to realize the real-time image processing in visual servoing, a fast transforming method based on a custom color space model named HSV was presented to solve the problem of a large amount of computation and time delay caused by transforming from RGB to HSV color space model. By using this method the computation was reduced and the calculation speed was improved. Further more, a color image segmentation method which segments in sequence by different color-individual-parameter was adopted to achieve color image fast segmentation in the custom HSV color space model. The experiments verify it.
出处
《计算机科学》
CSCD
北大核心
2009年第2期265-267,共3页
Computer Science
基金
国家高技术研究发展计划资助项目(2006AA04Z245)资助
关键词
彩色图像分割
颜色空间
视觉伺服
腐蚀
膨胀
Color image segmentation, Color space, Visual servoing, Erosion, Dilation
