The results indicate that the Content-based image retrieval method offers distinct advantages over some other image retrieval methods.
实验结果表明这种基于图象内容的检索方法，较方便和准确地达到了图象检索之目的。
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.
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。
Having analyzed the drawbacks of image retrieval methods based on edges, a novel image retrieval algorithm based on salient closed boundary is presented in this paper.
在分析了基于边缘的图像检索方法的缺点后，提出了一种基于显著封闭边界的图像检索新算法。
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.
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。
We analyzed the difficulties of traditional method of retrieval and introduced the highlights of content based image retrieval systems, its structure modules and general processing methods.
分析了传统的图象检索方法的困难，比较了基于内容的图象检索系统所具有的优点、系统结构及一般的处理方法。
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。
The experimental results using these three methods for image retrieval are showed in this thesis.
论文分别用这三种颜色特征提取方法对图像进行检索，并给出实验结果。
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.
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。
Through testing, we can see that these methods for content-based image retrieval have very good results.
通过试验可以看出，以上方法用基于内容的图像检索有很好的效果。
To be able to handle with practical issues with machine learning methods, such as: intelligent game, natural language understanding, knowledge retrieval, image recognition and text classification;
能够运用机器学习方法来解决实际问题，如智能博弈程序，自然语言理解，知识获取，图像识别，文本分类等；
This method can avoid some drawbacks such as lots of calculation, inaccurate definition to the features, if one kind of methods is used in the image database retrieval.
采用这种方法解决了单独使用某一方法的缺点，如计算量大、表达复杂、特征表达不够准确等。
In this paper, our methods for image retrieval using color and texture features are first discussed.
本文介绍了我们设计的分别基于颜色特征和基于纹理特征的两种图像检索算法。
In this paper, our methods for image retrieval using color and texture features are first discussed.
本文介绍了我们设计的分别基于颜色特征和基于纹理特征的两种图像检索算法。
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