日本研究人员近期开发了一种根据声音、颜色检索音乐、照片或动画的网络搜索引擎。
Japanese researchers have recently developed a new search engine with which you can browse your way "visually and audibly" through the Internet for music, images and flash files.
图4显示了该查询检索到的图像具有与图3内的草图类似的形状和颜色。
Figure 4 shows the images retrieved by the query having similar shapes and colors to those of the sketch in Figure 3.
颜色和形状都非基于外容的图像检索体解外常常当用的特征。
Color and shape are common features which were used in the Content Based Image Retrieval System.
实验结果表明，彩色子块共生矩阵描述子能够有效地结合颜色和纹理特征，具有良好的检索性能。
Experiments demonstrated that the color block co-occurrence matrix descriptor considerably improves the retrieval performance and can combine the feature of color and texture effectively.
第一部分是基于颜色的记忆性图像检索，另外一部分为基于粗糙集理论的形态学算子。
The first part is a kind of store image retrieval base on color. Another is about morphology operators based on rough set theory.
在本文提出的第一种方法的基础上，进行进一步的研究改进，提出了基于显著点局部颜色特征空间分布的图像检索方法。
Based on the first method be proposed in this dissertation, a new method for image retrieval based on local color distribution of salient points is proposed.
实验表明本文提出的图像颜色特征提取算法可成功应用于海量图像库检索和图像语义信息的自动提取。
Experiments show that the new algorithm proposed can be successfully used in retrieving the image from good-sized image database and extracting semantic information from image automatically.
结合鱼病图像的实际，本文研究并实现了用形状特征、颜色特征和纹理特征分别进行基于内容的图像检索方法。
Considering the fact of the ill fish image, the paper researched and presented the algorithm of content based image retrieval that was according to the represent shape, color or vein in image.
首先叙述了基于内容的图像检索的系统模型和特点，接着针对颜色、纹理和形状进行了概率特征提取、相似度量等的进一步具体分析讨论。
It presents the model and feature of content-based image retrieval system, and then discusses some methods of feature abstraction and similarity measurement based on color, texture and shape.
本文从颜色分析、图像分割、数据库模型的构建、检索策略等方面对这一课题进行了系统的研究。
The main contents of this paper include color analysis, image segmentation, image database construction and image retrieval and so on.
提出了一种新的基于颜色的图像检索算法。
In this paper, a new image retrieval algorithm based on color is proposed.
提出了一种结合颜色、纹理和形状特征的细胞病理图像检索方法。
A new method for pathology image retrieval by combining color, texture and morphologic features to search cell images is proposed.
介绍了基于内容图像检索中多种颜色的特征提取和匹配算法，以及加权欧几里得距离、中心距的加权距离、直方图交集算法等。
Introduces color feature extraction and matching algorithms in content-based image retrieval, such as weighted Euclidean-distance, weighted centre distance, histogram intersection algorithm, etc.
最后，将颜色特征分量与形状特征分量相结合来实现基于多特征的图像检索。
Finally it carries out image retrieval based on multi-feature by combining color component and shape component.
或者，想要存储用户的颜色首选项，然后在下一次运行应用程序时检索它们。
Or you might want to store a user's color preferences and then retrieve them the next time that the application runs.
该文实现了一个实用基于颜色、纹理特征的图像检索系统。
This thesis presents a practical image retrieving system based on color and texture characteristic.
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.
实验结果表明，该方法实现简单，能够更加灵活、准确地描述图像的颜色特征，从而有效提高了图像检索的准确率。
The method is more flexible and accurate to describe the color feature of an image and improves the image retrieval precision.
传统的基于颜色直方图特征的图象检索方法简单且易于实现，但其直方图求交运算量过大，而且丢失了颜色的空间分布信息。
It is easy to perform for traditional image retrieval based on color histogram, however, its calculation in color histogram intersection is too large and the space distribution information is lost.
在图像检索过程中提取与光照无关的、能够刻画物体表面物理反射特性的颜色特征，被称为颜色不变性描述。
The color features which are irrespective to the light and can portray physical surface reflect properties that extracted in the image search process named color Invariant Descriptor.
在基于内容的图像检索中，颜色特征已得到广泛应用。
In content-based image retrieval, color features are widely used.
在基于内容的图像检索基础上，提出了基于高层语义词和颜色词检索。
This paper presents a new image retrieval method based on high-level semantics word and color name.
本文通过分析图像的空间信息和颜色之间的相关性，提出一种基于直方图混合度量的图像检索方法。
By analyzing image's spatial information and correlation between colors, a histogram-based method with hybrid measure is proposed.
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。
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.
在图像主目标区域确定的基础上，提出了基于主目标区域的图像颜色特征的综合检索方法。
With the confirm of the object region in image, a color image retrieval algorithm based on the main object region of the image is presented.
传统的图像检索主要依赖颜色、纹理、形状、空间关系等单一视觉特征，检索效果往往不够理想。
Traditional image retrieval methods is mainly dependent on the single vision features such as color Grain shape and so on, so its retrieval result always not ideally.
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.
传统的图像检索主要依赖颜色、纹理、形状、空间关系等单一视觉特征，检索效果往往不够理想。
Traditional image retrieval methods is mainly dependent on the single vision features such as color texture shape and so on. So its retrieval result is not always ideal.
提出了一种基于颜色直方图与颜色块相结合的图像检索的新方法。
In this paper, an approach to color-based image retrieval based on histogram combined with color block is proposed.
提出了一种基于颜色直方图与颜色块相结合的图像检索的新方法。
In this paper, an approach to color-based image retrieval based on histogram combined with color block is proposed.
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