In the HSV color space, a new vector sorting method is defined.
在HSV颜色空间，定义了一种新的矢量排序方法。
Tongue images collected can be further processed using the HSV color space technique.
采集的舌图基于hsv颜色空间进行舌体分割处理。
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。
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。
Besides the HSV color space segmentation and RGB color space segmentation, the simple vector filter SVF color segmentation is studied.
主要研究了RGB和HSV颜色空间下的颜色分割方法，以及简单向量滤波器sVF颜色分割方法。
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。
The algorithm uses double rules to detect shadows:Rule 1 makes use of the character of HSV color space which corresponds closely to the human perception of color;
提出了一种新的基于HSV颜色信息和一阶梯度信息的阴影剪除算法，该算法运用双重准则检测阴影：准则一利用了HSV颜色空间与人观察彩色的方式十分接近的特性；
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。
Color information and local spatial features are combined in the HSV color space in order to obtain principal components by principal component analysis neural networks.
在HSV彩色空间将颜色信息和局部空间特征相结合，利用主元神经网络提取主成分；
Measure color according to the numeric area of the normalizing parameter from three eigenvectors in HSV color space for the difference correlation among three eigenvectors.
利用HSV颜色空间各特征分量之间相关性小的特点，根据其三个特征分量的归一化参数的取值范围进行颜色识别。
It analysed the characteristics of shadow in HSV color space, so as to eliminate the shadow, and to remove the noise in accordance with the distribution characteristics of noise.
分析了阴影在HSV颜色空间的特性，用以消除阴影，并根据噪声的分布特性去除噪声。
On the HSV color space, nearly equal good results could be obtained by directly setting the green chromaticity bandwidth combined with the saturation and brightness of the tree image.
在HSV色彩空间下，通过直接设定绿色色调带宽的方法，结合树木图像的饱和度和亮度特征进行树木图像分割，同样取得了良好分割效果。
Incorporating color distribution and spatial layout, this paper proposes a sequential Monte Carlo filter tracking face algorithm using color and spatial information in HSV color space.
结合图像的色彩分布和空间布局，提出了一种基于HSV色彩和空间信息的序列蒙特卡罗滤波人脸跟踪算法。
With Euclid distance computed in HSV space, color image is translated into grayscale image, which segmentation methods can be applied in to partition the vehicle from the background.
通过在HSV彩色空间计算欧式距离，把彩色图像转换为灰度图像，然后利用灰度图像的分割方法对车辆进行分割。
The color division is carried out in HSV space; the math morphologic and close calculations are adopted to create communication area.
其在HSV空间中进行色彩分割，运用数学形态学处理，采用闭运算，形成连通域。
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。
This thesis introduced RGB space, CMYK space, HSV space. All these spaces, HSV space is more suitable for human to perceive color. Also, this model has good linear scalability advantages.
其中HSV空间更符合人眼感知色彩的方式，此空间模型具有线性伸缩性良好，色差与颜色分量在相应值上的欧几里德距离成比例等优点。
To overcome the problem in RGB color model used to deal with video shot detection, proposes a method based HSV-color space model of scene cutting in video abstraction.
针对RGB彩色空间模型下统计直方图用于切分场景时，存在对内容变化不敏感、计算量大等问题，提出了一种基于HSV空间模型的视频场景切分方法。
Most monitors use RGB space to display the color image. HSV space has many advantages in image processing.
通常显示器的显示机理要求采用RGB色空间的形式，而HSV色空间在图像处理方面有着明显的优势。
Most monitors use RGB space to display the color image. HSV space has many advantages in image processing.
通常显示器的显示机理要求采用RGB色空间的形式，而HSV色空间在图像处理方面有着明显的优势。
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