该文提出一种基于颜色与纹理综合特征的车牌定位新方法。
In the paper, a new method of license plate location Witch based on color and the general characteristics was proposed.
文章提出了一种有效的基于颜色和纹理综合特征的图像分割方法。
An effective method for image segmentation based on color and texture features is proposed.
本文提出了一种新型的并行三维纹理综合算法，即：基于图象的自协方差函数，均值和方差的纹理综合方法。
A new 3-d texture synthetic method is proposed in this paper, i. e., the parallel 3-d texture synthetic algorithm based on autocorrelation parameters, the mean and the variance of texture images.
纹理综合在输入一小块的纹理基础上生成任意大小的纹理，当我们仔细分辨这两块纹理时，感觉它们是相同的。
Texture synthesis generates unlimited size texture image by input a patch of small texture, though sufficiently different, when perceived by human being, they are same under stochastic process.
该文在深入分析可调滤波器金字塔算法的基础上，提出了一种基于分形理论和可调滤波器金字塔算法的自然纹理综合方法。
This paper analyzes thoroughly the steerable filter pyramid algorithm and presents a natural texture synthesis method based on fractal theory and pyramid algorithm.
在此基础上，提出了一种新的综合颜色和纹理的改进算法。
On the basis of this, we proposed a new method which composes of color feature and texture feature.
在检索中，颜色和纹理特征的权重不同，本文采用线性加权方式综合颜色特征相似距离和纹理特征相似距离，对图像进行检索。
In this paper, we using a kind of comprehensive image retrieval which fuses color and texture features by linear weights and discuss the method which the weights are determined.
最后，本文就所研究的纹理生成映射技术开发了一个综合应用演示系统。
Lastly, we develop a comprehensive application demonstration system in terms of our studies in texture generation and mapping.
以建筑物垂直边缘为关键属性，结合窗户纹理和屋顶轮廓直线段属性及它们之间的关系，综合推理出建筑物的位置。
The vertical edges (as the key attribute), the window textures, line segments of roof contour and their relationships are used to locate the buildings.
关键帧图象皮肤检测方法从皮肤的运动特征、颜色特征和纹理特征三个方面进行综合考量。
The key frames are detected using the motion features, color features and texture features of skin in key frame images.
制定模型的层次细节、损伤分级、纹理和分组规则，并采用模糊综合评判方法确定离散LOD等级。
Model rules on LOD, grades of damage, texture and grouping are constituted, and the fuzzy synthetically evaluation method is used to choose the level of discrete LOD.
在此基础上，提出了一种利用牌照的纹理、颜色及体态等综合特征进行牌照定位的新方法。
Based on these work, a new plate location method using plate's texture, shape, color characteristics was proposed.
本文介绍了基于纹理特征的特征提取方法和中心特征的提取方法，并进而提出了一种综合利用上述两个特征共同进行检索的方法。
In this paper, out methods for image retrieval using center and texture features are firstly discussed. Furthermore, a new method for image retrieval using combined center and texture is proposed.
最后综合利用上述网格区域的颜色直方图和纹理直方图来计算图像间内容的相似度，用于进行彩色图像检索。
Finally, the similarity between color images is computed by using a combined feature index based on the color histogram and texture histogram for local grids.
而综合颜色和纹理特征算法的检索结果更优于单一特征算法。
Furthermore, the retrieval results using the proposed combination color and texture features method are more precise than the single feature method.
而可以综合集成图像的区域、边缘、形状、纹理、以及运动场等信息的变分方法因其良好的通用性与可扩展性成为时下图像分割领域主流的方法之一。
Moreover, variational method which can conveniently integrate image information, such as edge, region, shape, texture and motion field becomes the mainstream method of image Segmentation.
论文提出的牌照定位方法对牌照的纹理、体态及彩色特征作了充分考虑并加以综合利用，避免了以往定位方法对复杂环境适应性差的弊端。
The VLPR location method proposed in this paper fully considers and utilizes the texture, shape and color features of VLPR in VLPR location, and has better adaptability than the method used before.
实验结果表明，利用此模型在三维物体表面综合纹理时，计算速度较以前的方法有明显提高，同时具有很好的综合效果。
The good effects on synthesis and less time-consuming in computation can be seen from the experiment results using the above method.
这种方法的优点是综合考虑了亮度、色差和纹理特性，从而能优化阴影检测效果。
The advantage of this method is considering brightness, color and texture features together. Experiments show that the good results obtained.
由于综合利用了图像的颜色及纹理特征，实验结果表明，该方法取得了较好的检索效果。
Experimental results show that the new method is efficient and it provides noticeable improvement to the performance of image retrieval.
由于综合利用了图像的颜色及纹理特征，实验结果表明，该方法取得了较好的检索效果。
Experimental results show that the new method is efficient and it provides noticeable improvement to the performance of image retrieval.
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