To make blocks match better, the algorithm improves the accuracy of similarity measurement through subdividing image block.

在块匹配时，将图像块进一步细分，改进了相似度测量算法的准确性。

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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。

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The principal research of content based image retrieve (CBIR) includes two aspects: visual feature representation and similarity measurement.

基于内容的图像检索(CBIR)技术的研究主要包括两个方面：可视化特征提取和相似性度量。

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