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| 一种主动感知的纹理图像检索方法(英文) | |
| 引用本文： | 曲怀敬,彭玉华,吴延荣,万洪林,韩民. 一种主动感知的纹理图像检索方法(英文)[J]. 计算机科学与探索, 2009, 3(5): 550-560. DOI: 10.3778/j.issn.1673-9418.2009.05.010 |
| 作者姓名： | 曲怀敬 彭玉华 吴延荣 万洪林 韩民 |
| 作者单位： | 1. 山东大学,信息科学与工程学院,济南,250100;山东建筑大学,信息与电气工程学院,济南,250101 2. 山东大学,信息科学与工程学院,济南,250100 3. 山东建筑大学,信息与电气工程学院,济南,250101 |
| 基金项目： | The Project-sponsored by SRF for ROCS,SEM under Grant No.2004.176.4;;the Natural Science Foundation of Shandong Province of China under Grant No.2004ZRC03061~~ |
| 摘 要： | 基于Contourlet变换和支持向量机提出了一种新的纹理图像检索方法。在这种方法中,能量和广义高斯分布参数被用做Contourlet子带图像的特征。通过这种表示,提出了由一类和二类支持向量机组成的两阶段检索算法来完成感知相似性测度。通过具有640个纹理图像的VisTex库和具有1760个纹理图像的Brodatz库证明了所提方法的有效性。实验结果表明,对于这两个纹理库,新的纹理图像检索方法的平均检索率分别达99.38%和98.07%。 |
| 关 键 词： | Contourlet变换 广义高斯分布 支持向量机 相关反馈 纹理图像检索 |
| 修稿时间： | |
An Active Perceptual Texture Image Retrieval Method |
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| QU Huaijing,,PENG Yuhua,WU Yanrong,WAN Honglin,HAN Min . School of Information Science , Engineering,Sh,ong University,Jinan ,China . School of Information , Electric Engineering,Sh,ong Jianzhu University,Jinan ,China. An Active Perceptual Texture Image Retrieval Method[J]. Journal of Frontier of Computer Science and Technology, 2009, 3(5): 550-560. DOI: 10.3778/j.issn.1673-9418.2009.05.010 | |
| Authors: | QU Huaijing PENG Yuhua WU Yanrong WAN Honglin HAN Min . School of Information Science Engineering Sh ong University Jinan China . School of Information & Electric Engineering Sh ong Jianzhu University Jinan China |
| Affiliation: | QU Huaijing1,2,PENG Yuhua1,WU Yanrong2,WAN Honglin1,HAN Min1 1. School of Information Science , Engineering,Sh,ong University,Jinan 250100,China 2. School of Information & Electric Engineering,Sh,ong Jianzhu University,Jinan 250101,China |
| Abstract: | A new texture image retrieval method based on Contourlet transform and support vector machines (SVMs)is proposed. In this method,the energies and the generalized Gaussian distribution(GGD)parameters are used to represent the Contourlet subband features. Using the representations,a two-run SVM retrieval algorithm which employs an one-class SVM followed by a two-class SVM is proposed to carry out the perceptual similarity measurement. Compared with existing texture image retrieval methods, the proposed retrie... |
| Keywords: | Contourlet transform generalized Gaussian distribution support vector machine relevance feedback texture image retrieval |
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