| 一种基于颜色与纹理特征的图像模糊检索算法 |
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| 引用本文： | 王爽,潘静. 一种基于颜色与纹理特征的图像模糊检索算法[J]. 电子测量技术, 2014, 0(2): 54-57 |
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| 作者姓名： | 王爽 潘静 |
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| 作者单位： | [1]天津大学电子信息工程学院,天津300072 [2]天津职业技术师范大学电子工程学院,天津300222 |
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| 基金项目： | 国家自然科学基金项目（61271412,61172121） |
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| 摘 要： | 提出了一种新的综合颜色与纹理特征的图像模糊检索的方法。其主要思想是首先利用隶属度函数剔除与查询图像相关性较小的图像,然后再综合考虑图像的颜色和纹理特征,最终返回与查询图像相似度较大的部分图像。实验结果表明,综合颜色和纹理特征并采用隶属度函数的改进算法检索速度快,准确率较高。
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| 关 键 词： | 基于内容的图像检索 隶属度 颜色量化 纹理 |
An fuzzy image retrieval method based on color and texture features |
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| Wang ShuangSchool of Electronic Information Engineering,Tianjin University,Tianjin,China Pan Jing. An fuzzy image retrieval method based on color and texture features[J]. Electronic Measurement Technology, 2014, 0(2): 54-57 |
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| Authors: | Wang ShuangSchool of Electronic Information Engineering Tianjin University Tianjin China Pan Jing |
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| Affiliation: | Wang Shuang(School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China) Pan Jing(School of Electronic Engineering, Tianjin University of Technology and Education, Tianjin 300222, China) |
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| Abstract: | This paper presents a new fuzzy image retrieval method,which is based on both color and texture features.The main idea is that the membership function is employed to remove a part of images which have little correlation with the inquiry image firstly,and then considering the color and texture features,the images would be obtained which have larger similarity with the inquery image.The experiment results show that the proposed method combining color features and texture features with the membership function has not only higher accuracy but also faster retrieval speed. |
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| Keywords: | CBIR degree of membership color quantization texture |
| 本文献已被 CNKI 维普 等数据库收录！ |
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