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Proceedings Paper

Real-time oriented edge detection via difference of shifted image
Author(s): Kiseon Jeong; Moonyong Jin; Daegyu Hwang; Sook Yoon; Dong Sun Park
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Paper Abstract

We propose a novel oriented edge detection method called Difference of Shifted Image (DoSI) which has only subtractions between neighborhood pixels using padding-based shifting operation. Firstly, we can more quickly extract an oriented edge component in each direction from 8-neighborhoods using DoSI because there are no multiplications. Then, we can make a final edge map using all edge components by taking maximum value per each pixel. Moreover, we propose various types of oriented edge operators based on the Prewitt, Sobel and Laplacian. They are achieved by combinations of some oriented edge components obtained from DoSI. They have similar performance to existing edge operators based on convolution operations and also their procedures can be implemented in parallel. The experimental results show that the proposed edge detection methods requires less computation time than convolution-based methods and most of them are similar in edge description ability to the existing oriented edge operators.

Paper Details

Date Published: 24 December 2013
PDF: 5 pages
Proc. SPIE 9067, Sixth International Conference on Machine Vision (ICMV 2013), 906716 (24 December 2013); doi: 10.1117/12.2051381
Show Author Affiliations
Kiseon Jeong, Chonbuk National Univ. (Korea, Republic of)
Moonyong Jin, Chonbuk National Univ. (Korea, Republic of)
Daegyu Hwang, Chonbuk National Univ. (Korea, Republic of)
Sook Yoon, Mokpo National Univ. (Korea, Republic of)
Dong Sun Park, Chonbuk National Univ. (Korea, Republic of)
IT Convergence Research Ctr. (Korea, Republic of)


Published in SPIE Proceedings Vol. 9067:
Sixth International Conference on Machine Vision (ICMV 2013)
Branislav Vuksanovic; Antanas Verikas; Jianhong Zhou, Editor(s)

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