Color and shape are common features which were used in the Content Based Image Retrieval System.
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。
To cure the above problems, this paper presents a novel shape based image retrieval algorithm.
针对以上问题，该文提出了一种新的基于形状的图象检索算法。
In image retrieval, it gives a new method to get shape character of image, and image retrieval operation based the arithmetic was realized.
在图像检索中，该算法用一种新方式提取形状特征，实现了基于该算法的图像检索操作。
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.
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。
To retrieve artistic conception drawings in textile industry accurately and rapidly, a novel shape-based artistic conception drawing retrieval algorithm was proposed.
针对纺织工业的意匠图库难以检索的问题，提出一种基于形状的意匠图检索算法。
In image retrieval, the paper gives a new method to get shape character of image, and image retrieval operation based on the arithmetic is realized.
在图像检索中，该算法用一新的方式提取形状特征，实现了基于该算法的图像检索操作。
A new image retrieval algorithm based on the main color and shape of image blocks was presented.
提出一种新的基于分块主色和形状特征的图像检索算法。
Experiments show that the method can improve the precision of retrieval, and thus the proposed approach can be applied to interactive 3d shape retrieval based 2d sketch.
实验结果表明，该方法能提高检索精度，因此可应用在2维草图查询方式的3维模型检索中。
In view of the fact that geometric entities are recorded in vector form in graphics file, this paper presents an algorithm based on modified geometric hashing for shape retrieval.
针对图形文件以矢量方式记录几何实体的特点，提出了一种基于改进几何哈希法的图形检索算法。
Shape feature extraction and description are one of important research topics in content-based image retrieval.
形状特征提取和表示是基于内容图像检索的重要研究内容之一。
This paper presents the design and implementation of a content-based image retrieval system which acquires effective and efficient similar shape retrieval using a modified geometric hashing technique.
文中介绍了一个基于内容的图像检索系统的设计和实现，它利用改进的几何散列技术能够获得快速而且准确的相似形状检索。
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.
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。
Finally it carries out image retrieval based on multi-feature by combining color component and shape component.
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。
Compared with existing ROI-based image retrieval approaches, it makes use of space information of ROI and multi-resolution retrieval concept, is able to query shape-free and any size objects.
与已有的基于感兴趣区域的检索方法相比，该方法很好地利用了感兴趣区域的空间信息，采用多分辨率检索思想，能够有效地对不同大小任意形状的物体进行检索。
The main features used for image retrieval are color, texture and shape. This thesis looks into image retrieval techniques based on color and texture.
基于内容的图像检索技术主要利用图像的颜色、纹理和形状特征对图像进行检索，论文重点研究基于颜色和纹理特征的图像检索技术。
The descriptor based on symmetry can commendably reflect shape information and be used in 3d model retrieval.
基于对称性的描述符可以很好地反映三维模型的形状信息，适用于三维模型检索领域。
Among the contend-based retrieval technologies, feature extraction is most important. For instance, color, texture and shape feature etc.
基于内容检索技术中必不可少的关键步骤就是图像特征的提取，其中可提取的特征有颜色、纹理和形状等。
The two new 3D model search methods are put forward in this thesis. These two methods all belong to shape-based retrieval techniques.
在对已有三维模型检索技术的进行系统研究的基础上，本文提出了两种基于内容的三维模型检索技术。
The two new 3D model search methods are put forward in this thesis. These two methods all belong to shape-based retrieval techniques.
在对已有三维模型检索技术的进行系统研究的基础上，本文提出了两种基于内容的三维模型检索技术。
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