Based on TMS320C6201 fixed point DSP of the Intelligence Vehicle Machine Vision System, a road detection algorithm based on HSV color space is presented and realized.
基于智能车视觉导航系统平台，在TMS320C 6201定点数字信号处理器上实现了一种基于HSV色彩空间的道路检测算法。
By analyzing the algorithm based on the single gauss model to extract the background, one improved algorithm based on multi-gauss model in HSV color space is proposed.
分析单高斯模型提取背景的算法，提出改进算法：在HSV色彩空间下，通过多高斯背景建模提取背景。
In order to solve this problem, an image retrieval method based on multiple color space was presented: the pixels in the singular regions were expressed by YUV and the others by HSV.
在此基础上，提出了基于多颜色空间的图像检索方法，奇异区域的像素点用YUV颜色空间表示，其他像素点用HSV颜色空间表示。
Two methods were given, which were based on RGB color space and HSV color space separately.
分别给出了在RGB颜色空间和HSV颜色空间实现的两种连续色编码方法。
On the basis of analysis and comparison of the existing algorithms, a new visualization method of trees using HSV color space based on IBR is presented.
在综合比较已有树木算法的基础上，提出了在HSV色彩空间中基于图像的层次感树木可视化方法。
Then get the coarse shadow area where the shadow detection based on the HSV color space is only applied in.
在综合比较已有树木算法的基础上，提出了在HSV色彩空间中基于图像的层次感树木可视化方法。
Then get the coarse shadow area where the shadow detection based on the HSV color space is only applied in.
在综合比较已有树木算法的基础上，提出了在HSV色彩空间中基于图像的层次感树木可视化方法。
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