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Automatic Object Classification and Image Retrieval by Sobel Edge Detection

Automatic Object Classification and Image Retrieval by Sobel Edge Detection

Copyright: © 2014 |Pages: 6
ISBN13: 9781466648968|ISBN10: 1466648961|EISBN13: 9781466648975
DOI: 10.4018/978-1-4666-4896-8.ch016
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MLA

Vesna Zeljkovic. "Automatic Object Classification and Image Retrieval by Sobel Edge Detection." Video Surveillance Techniques and Technologies, IGI Global, 2014, pp.196-201. https://doi.org/10.4018/978-1-4666-4896-8.ch016

APA

V. Zeljkovic (2014). Automatic Object Classification and Image Retrieval by Sobel Edge Detection. IGI Global. https://doi.org/10.4018/978-1-4666-4896-8.ch016

Chicago

Vesna Zeljkovic. "Automatic Object Classification and Image Retrieval by Sobel Edge Detection." In Video Surveillance Techniques and Technologies. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-4896-8.ch016

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Abstract

A comparative study of ability of the proposed novel image retrieval algorithms is performed to provide automated object classification invariant of rotation, translation, and scaling. Simple cosine similarity coefficient methods are analyzed. Considering applied cosine similarity coefficient methods, the two following approaches were tested and compared: the processing of the whole image and the processing of the image that contains edges extracted by the application of the Sobel edge detector. Numerical experiments on a real database sets indicate feasibility of the presented approach as an automated object classification tool without special image pre-processing.

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