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January 2018 Issue Vol.8 No.1
An Enhanced Center Symmetric Local Binary Pattern Technique for Image Retrieval Using Euclidean Distance
https://ia601503.us.archive.org/15/items/vol8no0101/vol8no0101.pdf
A.Selvakumar
Ph.D Research Scholar, Department of Computer Science,Nandha Arts and Science College, Erode, Tamil Nadu, India
Dr.S.Prasath
Assistant Professor, Dept of Computer Science,Nandha Arts and Science College, Erode, Tamil Nadu, India
Abstract:
In recent years, image mining techniques enters and plays a vital role in various fields. The fast improvement in the information technology various methods has been appear to process and store these information, issues in data retrieval and huge volume. Image retrieval has been developed into a very dynamic explore the part will focus on how to extract and retrieve the images. An assortment of methods has been proposed for image retrieval and each technique has advantages and drawbacks. The difficulty in procedure and other problem involve the performance of existing system which makes inadequate. In this paper image retrieval with feature are extracted based on features such as contrast, energy, homogeneity and the threshold value calculated separately stored in feature database. The feature is generated and matching is done by Euclidean distance which is used to measure distance between two images. The experimental results shows that CSLBP method provides better retrieval rate when compared with the existing methods in terms of retrieval, precision and recall.
Keywords:LBP, ILBP, MBLBP, CSLBP, Euclidean, Precision, Recall.
