Multi technique amalgamation for enhanced information identification with content based image data

SpringerPlus
Rik DasSaurav Ghosh

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.

References

Feb 8, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·T Gevers, A W Smeulders
Jan 1, 1986·IEEE Transactions on Pattern Analysis and Machine Intelligence·S R Dubois, F H Glanz
Apr 4, 2013·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Xinchao WangDacheng Tao
Dec 9, 2014·SpringerPlus·Radhika Mani MadireddySatyanarayana Chittipothula
Jul 15, 2015·SpringerPlus·A RaventósFrancesc Tarrés

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Citations

Jun 18, 2016·PloS One·Nouman AliHafiz Adnan Habib

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Methods Mentioned

BETA
feature extraction
feature
feature point
feature vector extraction

Software Mentioned

Windows
Hysime
GIST
Isomap
Matlab

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