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| 基于彩色空间3D广义共发矩阵的视觉信息检索 | |
| 引用本文： | 李学龙,刘政凯,俞能海,袁媛,陶大鹏,文勇刚,汤晓鸥.基于彩色空间3D广义共发矩阵的视觉信息检索[J].电路与系统学报,2002,7(2):10-21. |
| 作者姓名： | 李学龙 刘政凯 俞能海 袁媛 陶大鹏 文勇刚 汤晓鸥 |
| 作者单位： | 1. 中国科学技术大学,电子工程与信息科学系,安徽,合肥,230027 2. 电光设备研究所,河南,洛阳,471000 3. 麻省理工学院,电子工程系,MA,美国 4. 香港中文大学,信息工程系,新界,沙田,香港 |
| 基金项目： | 国家科技攻关项目，国家重点科技项目，96-B02-01-05，96-B02-01-05，， |
| 摘 要： | 本文针对基于内容的图象检索（CBIR）提出一组基于HSV空间的3D广义共发矩阵的新颖的图象纹理特征，通过在CBIR检索系统iPhoto中（25，000张图象）上测试，利用本文特征地传统灰度共发矩阵。 |
| 关 键 词： | 基于内容图象检索 图象数据库 纹理特征 3D共发矩阵 |
Generalized 3D Co-occurrence Matrix for Visual Information Retrieval |
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| LI Xue-long,LIU Zheng-kai,YU Neng-hai,YUAN Yuan,TAO Da-peng,WEN Yong-gang,TANG Xiao-ou.Generalized 3D Co-occurrence Matrix for Visual Information Retrieval[J].Journal of Circuits and Systems,2002,7(2):10-21. | |
| Authors: | LI Xue-long LIU Zheng-kai YU Neng-hai YUAN Yuan TAO Da-peng WEN Yong-gang TANG Xiao-ou |
| Abstract: | A novel feature set based on generalized co-occurrence matrix is proposed for Content-based Image Retrieval (CBIR). Texture features provide important cue for the visual information retrieval and discrimination of image content, therefore a set of 3D co-occurrence matrix based texture features is proposed. The preliminary results based on the novel features are much better than traditional ones. Experiments are implemented on an image database including 25000 images. |
| Keywords: | Content-Based Image Retrieval Image Database Texture Features 3D Co-occurrence matrix |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |