An analysis based on local binary pattern (LBP) and color moment (CM) for efficient image retrieval

被引：0
|
作者：
Singh, Hardeep [1 ]
Agrawal, Dheeraj [2 ]
机构：
[1] CPU Kota, ECE Dept, Aalniya, Rajasthan, India
[2] MANIT Bhopal, ECE Dept, Bhopal, India
来源：
IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGICAL TRENDS IN COMPUTING, COMMUNICATIONS AND ELECTRICAL ENGINEERING (ICETT) | 2016年
关键词：
CBIR; Content Retrieval; LBP and CM; FEATURES;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper objective is to analyze LBP and CM for the comparative analysis in the field of content based image retrieval (CBIR). In this paper LBP and CM methods are used for the efficient retrieval of the images from the Wang database. All the 10 classes are used for the results comparison. LBP is used for better thresholding and CM is used with color dominant features for the efficient retrieval. The results suggested that the results may vary with different input images and the chances of the prediction are also different.
引用
收藏
页数：6
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