| 一种基于纹理特征的图像检索方法的实现 |
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| 引用本文： | 李永宁.一种基于纹理特征的图像检索方法的实现[J].青海师范大学学报(自然科学版),2012,28(4):20-24. |
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| 作者姓名： | 李永宁 |
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| 作者单位： | 青海民族大学计算机学院,青海西宁,810007 |
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| 摘 要： | 对图像纹理特征进行了研究,采用改进的共生矩阵算法来提取纹理特征.在此基础上,通过高斯归一化法用纹理特征作为图像检索特征,给出了利用该特征的图像检索算法.从实验结果可以看出,对于具有明显的纹理特征的图像数据库利用改进的共生矩阵提取算法具有较好的检索性能,可以得到较好的检索效果.
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| 关 键 词： | 图像检索 特征提取 相似性度量 共生矩阵 |
Design and implement of Content-based image retrieval using texture feature |
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| LI Yong-ning.Design and implement of Content-based image retrieval using texture feature[J].Journal of Qinghai Normal University(Natural Science Edition),2012,28(4):20-24. |
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| Authors: | LI Yong-ning |
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| Affiliation: | LI Yong-ning (Qinghai University for Nationalities the faculty of Computer Science and Technology, Xining 810007, China) |
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| Abstract: | In this paper, improved co-occurrence matrix algorithm is applied to image texture extraction. On this basis, along with texture processed by normalized Gaussian function, image retrieval algorithm is presented. As can be seen from the results, better retrieval performance is obtained with improved co-occurrence matrix extraction algorithm. |
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| Keywords: | content-based image retrieval feature extraction similarity measurement co -- occurrence matrix |
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