Computer Science ›› 2016, Vol. 43 ›› Issue (6): 65-67.doi: 10.11896/j.issn.1002-137X.2016.06.013

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Adaptive Image Retrieval Algorithm with Multi-feature of Center Block

GUO Jing-lei, LI Wei and JIN Cong   

  • Online:2018-12-01 Published:2018-12-01

Abstract: An adaptive image retrieval algorithm with multi-feature of center block was proposed to better retrieval the image information.By retrieving the main color of image,the improved method reduces the interference of background noise on the target object.In order to solve the difficult problem of the weight setting,a differential evolution algorithm was presented to optimize the feature weight.Experimental results demonstrate that the proposed algorithm can reduce the interference of background noise in calculating the image distance,and achieve better results in retrieval accuracy and efficiency.

Key words: Background noise, Center block,Multi-feature, Adaptive weight,Differential evolution

[1] Nai C Y,Wei H C,Chung M K,et al.A fast MPEG-7 dominant color extraction with new similarity measure for image retrieval[J].Journal of Visual Communication and Image Representation,2008,2(19):92-105
[2] Liang Mei-li,Niu Zhi-xian.Improved image retrieval with integrated colour and texture features[J].Computer Application and Software,2014,31(6):228-231(in Chinese) 梁美丽,牛之贤.改进的综合颜色纹理特征图像检索[J].计算机应用与软件,2014,31(6):228-231
[3] Huang Ren,Hu Min.Content-based image retrieval Using color position and texture fused features[J].Computer Science,2014,41(6A):118-121(in Chinese) 黄仁,胡敏.综合颜色空间特征和纹理特征的图像检索[J].计算机科学,2014,41(6A):118-121
[4] Ahmed T,Massudi M,Husniza H,et al.A weighted dominant colordescriptor for content-based image retrieval[J].Journal of Visual Communication and Image Representation,2013,24(3):345-360
[5] Shi J C.Fuzzy information retrieval based on a new similaritymeasure of generalized fuzzy numbers[J].Intelligent Automation and Soft Computing,2011,17(4):465-476
[6] Nidhi S,Kanchan S,Ashok K S.A Novel Approach for Content Based Image Retrieval[J].Procedia Technology,2012(4):245-250
[7] Miao Liang,Sun Li-juan.Image Feature Matching AlgorithmBased on Gauss Formula[J].Journal of Henan University (Na-tural Science),2013,43(2):196-199(in Chinese) 缪亮,孙利娟.基于高斯公式的图像特征匹配算法研究[J].河南大学学报(自然科学),2013,43(2):196-199
[8] Sun Jun-ding,Ma Yuan-yuan.Summary of Texture research[J].Computer Systems & Applications,2010,19(6):245-250(in Chinese) 孙君顶,马媛媛.纹理特征研究综述[J].计算机系统应用,2010,19(6):245-250
[9] Liu Li,Kuang Gang-yao.Overview of Image Texture FeatureExtraction Methods[J].Journal of Image and Graphics,2009,14(4):622-635(in Chinese) 刘丽,匡纲要.图像纹理特征提取方法综述[J].中国图象图形学报,2009,14(4):622-635
[10] Haralick R M,Shanmugam K.Texture features for image classification[J].IEEE Transaction on System Man and Cybernetics,1973,3(6):610-621
[11] Sun Jun-Ding,Yuan Fang.Content-based Image Retrieval[J].Computer System & Applications,2011,20(8):240-244(in Chinese) 孙君顶,原芳.基于内容的图像检索技术[J].计算机系统应用,2011,20(8):240-244
[12] Zhu Hua,Ji Cui-cui.Fractal Theory and Its Applications[M].Beijing:Science Press,2011(in Chinese) 朱华,姬翠翠.分形理论及其应用[M].北京:科学出版社,2011

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