IJMTES – PERCEPTUAL FEATURE VS TETRAPATTERN FOR CONTENT BASED IMAGE RETRIEVAL ALGORITHMS

Journal Title : International Journal of Modern Trends in Engineering and Science

Author’s Name : K Nagarajan

Volume 02 Issue 08  Year 2015

ISSN no: 2348-3121

Page no: 3-6

Abstract Content Based Image Retrieval (CBIR) is a very important research area in the field of image processing, and comprises of low level feature extraction such as color, texture and shape and similarity measures for the comparison of images. This information uses to search and analysis required image from outsized image database based on the user’s requests in the structure of a query image. Texture based CBIR is a fast growing research area in recent years. In this paper we analyze the performance of feature extraction techniques Perceptual feature and Tetra Pattern using nearest neighbours classification techniques. Experimental results are measured by F-Score and Recognition Rate matrices. Experiment results show that Tetra pattern technique gives better retrieval result then Perceptual Features Techniques.

Keywords— CBIR, Tetra Pattern, Perceptual Feature, Nearest neighbours, Rocognition rate, F-score

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