content-based_image_retrieval_system

1.Based on the requirement of image query, the paper designs a framework of Content-Based image Retrieval system (CBIR), which possesses more functions than all kinds of existing CBIR systems.
依据当前对图象查询的要求，本文设计了一套完整的基于内容的图象信息检索系统，该系统较以往的各种系统，功能更加全面。
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2.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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3.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。
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