Abstract
Shape of different regions of an image depends on the detection of the corners. .However vague information such as blurring, noise etc in an image is normally due to missing curvatures in the regions of image and therefore for the reliable decision for the detection of images in the corresponding domains based on corners in gray level images of source image and its duplicate and for their equivalence we give an algorithm linking it to the set theoretic fuzzy technique. We propose Attribute Relational Bipartite Graph (ARBG) for image near-duplicate (IND) as an important model. The application of the proposed algorithm works well as vertex detectors in their respective two domains. The performance is tested on a number of test images to show the efficiency of the fuzzy based algorithm.
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© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Datta, G., Raina, B.L. (2013). Fuzzy Approach for Image Near-Duplicate Detection Using Gray Level Vertex Matching in Attribute Relational Bipartite Graphs. In: Singh, K., Awasthi, A.K. (eds) Quality, Reliability, Security and Robustness in Heterogeneous Networks. QShine 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37949-9_35
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DOI: https://doi.org/10.1007/978-3-642-37949-9_35
Publisher Name: Springer, Berlin, Heidelberg
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