颜色量化是基于颜色特征的图像检索的一个重要方法。
Color quantization is an important method of image retrieval based on color feature.
这些解析符将质地和颜色量化，帆布的边缘的统计分布，特定种类的形状的分布。
These descriptors quantified textures and colours, the statistical distribution of edges across a canvas.
基于颜色特征的图像检索技术主要包括颜色空间的选择、颜色量化方法及颜色特征的提取。
Color space, color quantization and color feature extraction are the main techniques in image retrieval based on color feature.
该方法充分考虑到图像的空间信息，对图像的分割采用两个步骤：颜色量化和图像空间分割。
It considered the spatial information of images (which was often neglected), and segmented an image following two steps: color quantization and spatial segmentation.
研究者认为三个新的基因位点与量化的人眼颜色有关。
The researchers identified three new loci significantly associated with quantitative eye colour.
该方法首先将图像量化为不同的颜色层，并利用形态学的腐蚀算法对图像的各个量化颜色层进行单独处理。
It quantizes colors of each image to several different color levels, then morphic erode algorithm be separately used to all the quantized color level.
位深度量化有多少独特的颜色是在图像的调色板可在0和1，或“位”，这是用来指定每种颜色的数量。
Bit depth quantifies how many unique colors are available in an image's color palette in terms of the number of 0's and 1's, or "bits," which are used to specify each color.
将材料的氧气阻隔性进行量化研究，确定了最有利于猪肉颜色保持的透氧度。
Through the quantification research on oxygen barrier property of plastic, we can make sure of the best oxygen transmission rate that is beneficial to the maintenance of the color of the pork.
特征搜索主要包括颜色维度、数量化维度的搜索，其中数量化维度的特征搜索占有重要的地位。
Feature search mainly contains searches on quantitative dimension and color dimension. Feature search on quantitative dimension plays an important role.
基于多项费歇尔几何，采用平均延拓的费歇尔信息距离量化随机颜色直方图集合之间综合的信息差异。
Based on multinomial Fisher geometry, the averaged extended Fisher information distances are proposed for quantifying overall information divergence between sets of random color histograms.
本文介绍了一种颜色聚类的方法，在序列图象中进行颜色的量化，以获得有效的图象颜色的表征。
In this paper, a color clustering method is introduced to reduce colors and get effective color representation of image sequence.
提出了一种基于颜色聚类特征的色彩量化方法。
This paper proposes an algorithm based on color cluster feature for color quantization.
提出了一种新颖的基于颜色对的色彩量化算法。
This paper proposes a novel algorithm based on color pair for color quantization, which considers the color layers as well as color details.
计算机算法通过明显的和量化的参数，如画在画布在分布的方式或者颜色组成，来判断艺术。
Computer algorithms judged the art by obvious and quantifiable parameters, such as the way the paint was laid on the canvas, or the color composition.
首先给出颜色空间的选择和重量化方案；
First, it presents the selection of color space and an approach of re-quantization.
最后，把组成地物的所有点认为是同样颜色的点，运用传统的二值图像矢量化方法得到矢量空间数据。
At last, the traditional vectorization method can be used to get spatial vector data regarding all the pixels of the object as the same color pixels.
以均匀颜色空间的距离作失真测度，以矢量量化的码书设置颜色寄存的颜色值。实验证明，效果令人满意。
The distance of the uniform color space is used as the distortion measure, and the codebook of vector quantization is used to set the color table register, which shows good results.
在对HSV颜色模型量化处理的基础上，提取颜色直方图作为图像的颜色特征。
Based on the quantization of the color in HSV model, color histogram is introduced as the color feature.
通过分析彩色图像的数据格式，将八叉树量化方法用于彩色图像的颜色信息量化，并采用矢量中值滤波消除彩色图像噪声，以实现对彩色图像的合理预处理。
Then the experimental results show that the vector median filtering algorithm based on PCNN and HIS not only can effectively remove the noise, but also can protect the details of color image better.
通过分析彩色图像的数据格式，将八叉树量化方法用于彩色图像的颜色信息量化，并采用矢量中值滤波消除彩色图像噪声，以实现对彩色图像的合理预处理。
Then the experimental results show that the vector median filtering algorithm based on PCNN and HIS not only can effectively remove the noise, but also can protect the details of color image better.
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