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Feature of Statistical Projection Algorithm-based Image Retrieval

文献类型: 外文期刊

作者: Zheng, Xiaofei 1 ; Gao, Zhe 2 ; Luo, Wei 1 ;

作者机构: 1.Inst Sci & Tech Informat CATAS, Danzhou Hainan 571737, Peoples R China

2.Hainan Univ, Editorial Dept Journal, Haikou 570228, Peoples R China

关键词: main hue;main intensity;projective histogram

期刊名称:APPLIED MATHEMATICS & INFORMATION SCIENCES ( 影响因子:1.232; 五年影响因子:1.204 )

ISSN: 2325-0399

年卷期: 2014 年 8 卷 2 期

页码:

收录情况: SCI

摘要: In this paper, image retrieval method based on statistics and projection is presented. At first, images are transferred from the RGB color model to the HSI color model, then images are segmented into sub-images (or blocks) and extract the main hue and main intensity in these sub-images. Images' main hue and main intensity are projected onto the horizontal and vertical directions, respectively, and four projective histograms were obtained. Finally, the first three central moments are taken as feature as to compute the similarity between images.

  • 相关文献

[1]Applied Study on Image Retrievals based on Statistics Projection Algorithm and Robert Algorithm. Zheng, Xiaofei,Liu, Enping,Gao, Zhe. 2014

[2]Study on image retrieval based on image texture and color statistical projection. Zheng, Xiaofei,Tang, Bing,Tang, Bing,Gao, Zhe,Tang, Bing,Liu, Enping,Tang, Bing,Luo, Wei.

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