1) HSV color space
HSV颜色空间
1.
Shadow detection based on HSV color space characteristic and Gabor screener
基于HSV颜色空间检测与Gabor筛选器的阴影检测
2.
The statistical features of color histogram of three independence variables in HSV color space,and independent characteristics of hue,saturation,and brightness are adopted to express the information of color of wood surface in this paper.
提出了采用HSV颜色空间三个独立分量的直方图统计特征表达木材表面颜色信息的方法,利用色调、饱和度和亮度三分量之间的相互独立性,提取了各分量的直方图特征。
3.
Then get the coarse shadow area where the shadow detection based on the HSV color space is only applied in.
首先,采用自适应背景更新的方法在图像中快速检测出移动区域;然后,以此为基础建立阴影的粗模型,阴影检测时只对该区域内的图像采用基于HSV颜色空间的方法进行分析处理;最后,对移动区域和阴影区域进行边缘检测,从移动区域中去除阴影区域,从而准确区分真实车辆和阴影。
2) HSV-color space model
HSV颜色空间模型
3) hue/saturation/value color space
色调/饱和/值(HSV)颜色空间
4) HSV color space
HSV彩色空间
1.
Then,based on the features of H and S sub-channels of HSV color space,this paper uses K-means algorithm to classify those areas into nine parts.
然后对图像以HSV彩色空间的H和S分量为特征,使用K均值聚类算法将图像聚为9类。
2.
The algorithm employs information of the color image in HSV color space to construct a five_scale gray image, pre_processes the image with morphological method, then locates and segments the vehicle license plate by analyzing and discriminating the statistical_letter_frequency property of every possible regions.
该方法是在HSV彩色空间中,充分利用车牌图像提供的彩色信息,构造出5级灰度图,然后采用数学形态学、字频统计方法进行分析和判断,确定并分割出汽车牌照。
5) HSV color space
HSV色彩空间
1.
This paper introduces HSV color space and an algorithm of automatic recognition character color.
引入HSV色彩空间,提出一种自动识别字符色泽的算法。
2.
In this paper, through on-line skin-color training technique, the filter based on feature distance in HSV color space erases much color noise due to digital vision systems, and a skin-color statistic model of current terminal user is achieved precisely after color information of training region is analyzed.
文中通过在线肤色训练,在HSV色彩空间中对训练区中的彩色图像进行去噪,得到针对当前应用环境下终端用户的肤色统计模型。
3.
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。
6) HSV color model
HSV颜色模型
1.
An object extraction method based on the HSV color model was proposed,which could be used for testing the blended ratio of cashmere/wool yarns.
针对目前羊绒/羊毛混纺比检测主要依靠人工,速度慢且精确度不高等问题,应用一种基于HSV颜色模型的彩色目标提取方法检测羊绒/羊毛混纺比。
2.
By this concept and together with HSV color model, we can successfully segment the face image.
针对这点,本文提出肤色平滑度的概念,并利用这一概念和HSV颜色模型对图像进行分割。
3.
A support vector machine(SVM) object extraction method was proposed based on the HSV color model,which could be used for testing the blend ratio of cashmere/wool yarns.
文章介绍了基于HSV颜色模型,应用支持向量机的目标提取方法检测羊绒/羊毛混纺比。
补充资料：HSV
分子式：
CAS号：
性质：疱疹病毒中的一种，可以感染人及各种动物。
CAS号：
性质：疱疹病毒中的一种，可以感染人及各种动物。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条