title: Multi technique amalgamation for enhanced information identification with content based image data.
abstract: Image data has emerged as a resourceful foundation for information with proliferation of image capturing devices and social media. Diverse applications of images in areas including biomedicine, military, commerce, education have resulted in huge image repositories. Semantically analogous images can be fruitfully recognized by means of content based image identification. However, the success of the technique has been largely dependent on extraction of robust feature vectors from the image content. The paper has introduced three different techniques of content based feature extraction based on image binarization, image transform and morphological operator respectively. The techniques were tested with four public datasets namely, Wang Dataset, Oliva Torralba (OT Scene) Dataset, Corel Dataset and Caltech Dataset. The multi technique feature extraction process was further integrated for decision fusion of image identification to boost up the recognition rate. Classification result with the proposed technique has shown an average increase of 14.5 % in Precision compared to the existing techniques and the retrieval result with the introduced technique has shown an average increase of 6.54 % in Precision over state-of-the art techniques.
authors.affiliation: Department of Information Technology, Xavier Institute of Social Service, Dr. Camil Bulcke Path (Purulia Road), P.O. Box 7, Ranchi, 834001 Jharkhand India.
authors.forename: Rik
authors.initials: R
authors.lastname: Das
authors.affiliation: Pimpri Chinchwad College of Engineering, Akrudi, Sec-26,Pradhikaran, Nigdi, Pune, 411033 Maharashtra India.
authors.forename: Sudeep
authors.initials: S
authors.lastname: Thepade
authors.affiliation: A.K. Choudhury School of Information Technology, University of Calcutta, 92, APC Road, Kolkata, 700009 West Bengal India.
authors.forename: Saurav
authors.initials: S
authors.lastname: Ghosh
keywords: Fusion; Image classification; Image retrieval; Morphological operator; Otsu’s threshold; Slant transform; t test