| 具有鲁棒性的彩色图像检索方法 |
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| 引用本文： | 冀亚丽 程小平 康海东 张浩. 具有鲁棒性的彩色图像检索方法[J]. 测绘学院学报, 2005, 22(3): 194-196 |
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| 作者姓名： | 冀亚丽 程小平 康海东 张浩 |
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| 作者单位： | [1]西南师范大学计算机与信息科学学院,重庆400715 [2]路桥集团公路二局第四工程处,河南洛阳471000 [3]河南农业大学现代教育技术部,河南郑州450002 |
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| 摘 要： | 提出了一种鲁棒的图像检索方法，它能够在检索大规模图像库时实现基于内容的快速匹配。匹配的索引来源于重量化HSV颜色空间得到的灰度图（Z值图）的区域特征。由于Z值图由反映色彩的聚类区域组成，并且使用矩方法来表达特征，因此该检索方法是鲁棒的，具有2维平移、尺度、旋转不变性，同时可以避免逐点匹配产生的时间耗费。
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| 关 键 词： | 量化 聚类 鲁棒性 图像检索 |
| 文章编号： | 1009-427X（2005）03-0194-03 |
| 收稿时间： | 2005-01-30 |
| 修稿时间： | 2005-05-17 |
Color Image Retrieval Approach with Robustness |
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| JI Ya-li, CHENG Xiao-ping, KANG Hai-dong, ZHANG Hao. Color Image Retrieval Approach with Robustness[J]. Journal of Institute of Surveying and Mapping, 2005, 22(3): 194-196 |
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| Authors: | JI Ya-li CHENG Xiao-ping KANG Hai-dong ZHANG Hao |
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| Affiliation: | 1 .School of Computer and Information Science, Southwest China Normal University, Chongqing 400715 ,China ; 2 .The Fourth Section of the Second Road Bureau, The Corpof Road and Bridge, Luoyang 471000, China; 3 .Office of Modern Education Technology, Henan Agricultural University, Zhengzhou 450002, China |
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| Abstract: | In this paper we propose a robust color image retrieval approach which can realize fast matching in CBIR(Context-Based Image Retrieval) when searching in large image databases.Indexes root in region features of Z image that is the result of re-quantization in HSV color space.As Z image is made up of many color clustering regions and method of moments is used for feature representation,our approach is robust,and of 2D invariance in translation,scale and rotation,while time consumption pixel by pixel can be avoided. |
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| Keywords: | quantization clustering robustness image retrieval |
| 本文献已被 CNKI 维普 等数据库收录！ |
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