HSV color model is also used and its color components are analyzed and treated separately so that the proposed algorithm can adapt to different environmental illumination conditions.
文中算法采用HSV颜色空间,通过对背景统计模型中各颜色分量的有效分析和区别使用,能够很好地适应不同的环境光照条件。
An effective method based on HSV color model for extracting contour lines from color scanned topographical maps was proposed.
提出了一种基于HSV色彩模型的等高线提取方法。
According to hue difference between shaded and non-shaded regions, possible shaded regions were extracted by HSV color model at first.
根据阴影与非阴影区域间存在色调差异,利用HSV彩色模型,提取可能阴影区域。
In preprocessing phase, the IC image is segmented using HSV color model and the background noises are removed from the IC noisy image by the morphological operating.
在预处理阶段,利用彩色HSV模型分割原IC图像,然后用形态学开运算消除背景噪音。
We explore the clustering characteristics on xanthous face, and point out that HSV color model can be well used to express the clustering characteristics of xanthous faces.
通过对S色彩分量空间的阈值分割,利用分割后的图像特点与标準脸的投影进行比对,实现对检测到的人脸进行认证。