Image Search Engine Based on Color Histogram and Zernike Moment

被引：1

作者：

Chifa, Nawal ^{[1
]}

Badri, Abdelmajid ^{[1
]}

Ruichek, Yassine ^{[2
]}

Sahel, Aicha ^{[1
]}

机构：

[1] Hassan II Univ Casablanca, Fac Sci & Tech FSTM Mohammedia, EEA & TI Lab, Casablanca, Morocco

[2] UTBM, SET, IRIES, F-90010 Belfort, France

来源：

UBIQUITOUS NETWORKING, UNET 2017 | 2017年 / 10542卷

关键词：

CBIR; HSV histogram; Zernike moments; Image block; RECOGNITION; TEXTURE;

D O I：

10.1007/978-3-319-68179-5_55

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Though numerous approaches were proposed for image recognition, in this paper we proposed implementation of CBIR, using color descriptor combined to the shape features (Zernike moments). A practical and efficient system has been implemented based on image division and extraction color histogram of color from each block, and combined the result vector to the global shape one. We experimented our system on several image bases, and it gave satisfactory results.

引用

页码：632 / 640

页数：9

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