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Content Based Image Retrieval using Local Binary Pattern

Author(s):

Ronak Hurbada , K.J.Somaiya Institute Of Engineering & I.T.; Ronak Gothi, K.J.Somaiya Institute Of Engineering & I.T.; Ishan Banerjee, K.J.Somaiya Institute Of Engineering & I.T.; Vaibhav Bhanushali, K.J.Somaiya Institute Of Engineering & I.T.

Keywords:

Content Based Image Retrieval, Local Binary Pattern (LBP), Intensity Histogram, Data Base collection, Query Image.

Abstract

The explosive growth of digital image libraries increased the requirements of Content based image retrieval (CBIR). It can automatically search the desired image from the huge database. In this paper we have presented an efficient CBIR framework by extracting the color, Texture, features and clustering database. In order to overcome these difficulties content based image retrieval was introduced. This paper presents the content based image retrieval, using local binary pattern (LBP). Local Binary Pattern (LBP) is an effective method for texture analysis, being appreciated for accuracy and computing power. The local binary pattern encodes the relationship between the referenced pixel and its surrounding neighbors by computing the gray-level difference. The objective of the proposed work is to retrieve the best images from the stored database that resemble the query image.

Other Details

Paper ID: IJSRDV5I20386
Published in: Volume : 5, Issue : 2
Publication Date: 01/05/2017
Page(s): 1159-1161

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