A Novel Feature Extraction Technique Using Binarization of Bit Planes for Content Based Image Classification
Joint Authors
Thepade, Sudeep
Das, Rik
Ghosh, Saurav
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-18
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
A number of techniques have been proposed earlier for feature extraction using image binarization.
Efficiency of the techniques was dependent on proper threshold selection for the binarization method.
In this paper, a new feature extraction technique using image binarization has been proposed.
The technique has binarized the significant bit planes of an image by selecting local thresholds.
The proposed algorithm has been tested on a public dataset and has been compared with existing widely used techniques using binarization for extraction of features.
It has been inferred that the proposed method has outclassed all the existing techniques and has shown consistent classification performance.
American Psychological Association (APA)
Thepade, Sudeep& Das, Rik& Ghosh, Saurav. 2014. A Novel Feature Extraction Technique Using Binarization of Bit Planes for Content Based Image Classification. Journal of Engineering،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1040420
Modern Language Association (MLA)
Thepade, Sudeep…[et al.]. A Novel Feature Extraction Technique Using Binarization of Bit Planes for Content Based Image Classification. Journal of Engineering No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1040420
American Medical Association (AMA)
Thepade, Sudeep& Das, Rik& Ghosh, Saurav. A Novel Feature Extraction Technique Using Binarization of Bit Planes for Content Based Image Classification. Journal of Engineering. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1040420
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1040420