Image Retrieval based on Content using Template Matching |
Author(s): |
| Aimen Chivelkar , M.H.Saboo Siddik College of Engineering; Huda Mulani, M.H.Saboo Siddik College of Engineering; Pramil Kashid, M.H.Saboo Siddik College of Engineering |
Keywords: |
| CBIR, NCC, QBIC |
Abstract |
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The purpose of this paper is to introduce a faster and a more reliable approach to developing a Content Based Image Retrieval (CBIR) system. For developing such a system, we require a functional process that depends on certain features of the image. In this paper, we propose an algorithm which is solely based on Normalized Cross Correlation (NCC) and depends on the extracted template of the query image as its process feature. A template is basically a significant portion of the input query image and provides a measurement of the level to which the image considered should be either similar or identical to it. The calculation and comparison of the images is done by implementation of NCC and the output is interpreted by user defined threshold. Through this paper, we propose a complete system to analyze and implement the above functions using NCC as the base approach |
Other Details |
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Paper ID: IJSRDV2I1333 Published in: Volume : 2, Issue : 1 Publication Date: 01/04/2014 Page(s): 714-716 |
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