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IJSTR >> Volume 8 - Issue 8, August 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Relative Retrieval Efficiency Analysis of Local Binary Pattern variants in Color Images

[Full Text]

 

AUTHOR(S)

C.Callins Christiyana, J.Merlin Sheeba Rani, V.Rajamani

 

KEYWORDS

CBIR, Local Binary Pattern, Local tri-directional pattern, Local neighborhood intensity pattern, Precision, Recall, Wang Database, Color Images.

 

ABSTRACT

Content Based Image Retrieval (CBIR) technique is used to retrieve relevant images from the Image database based on image content in the query image. Feature extraction is the key process in Content Based Image Retrieval. Many CBIR systems are being developed as in the way of feature extraction techniques used in them. Image features such as color, texture and shape are symbolized as a result of feature extraction. There are many ways to represent the image features. The choice of feature representation is depended on the nature of image database and the intended applications. This article is aimed to experiment how texture oriented feature representation acts upon in color images. Recent studies depict that texture is effectively signified by Local patterns. The well-known local patterns such as local binary pattern (LBP), local tri-directional pattern (LTP) and local neighborhood intensity pattern (LNP) are considered in this work. The relative efficiency of above-mentioned local patterns is compared in the retrieval of color images. Wang database is taken for the experimentation and the color images are considered as a grey scale image by combining three color planes into a single plane. The experimental results conclude that the relative retrieval efficiency of local patterns is not same for the retrieval of color images as in the retrieval of texture images.

 

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