A Fractional-order Sobel Operator for Medical Image Structure Feature Extraction

Dan Tian; Jing Fei Wu; Ya Jie Yang

doi:10.4028/www.scientific.net/AMR.860-863.2910

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 860-863A Fractional-order Sobel Operator for Medical...

A Fractional-order Sobel Operator for Medical Image Structure Feature Extraction

Abstract:

This paper proposes a novel fractional-order gradient operator for medical image structure feature extraction. The proposed operator can be seen as generalization of the first-order Sobel operator. The goal is to utilize the frequency characteristic of the fractional derivative for extracting more structure feature details. A thresholding is set based on the average fractional-order gradient for marking the edge points, and then the image structure can be extracted. Experiments show that the proposed fractional-order operator yields good visual effects.

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Periodical:

Advanced Materials Research (Volumes 860-863)

Pages:

2910-2913

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.860-863.2910

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Online since:

December 2013

Authors:

Dan Tian, Jing Fei Wu, Ya Jie Yang

Keywords:

Feature Extraction, Fractional-Order, Medical Image, Sobel Operator, Thresholding Selection

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References

[1] Cui Y, Fan L. Neurocomputing. Vol. 86( 2012), p.52.

Google Scholar

[2] Esmaeili M, Rabbani H, Dehnavi A M. Pattern Recognition. Vol. 45(2012), p.2832.

Google Scholar

[3] Das N, Sarkar R, Basu S, et al. Applied Soft Computing. Vol. 12(2012), p.1592.

Google Scholar

[4] Lucchi A, Smith K, Achanta R, et al. Medical Imaging, IEEE Transactions on. Vol. 31(2012), p.474.

Google Scholar

[5] Pu Y F, Zhou J L, Yuan X. Image Processing, IEEE Transactions on. Vol. 19(2010), p.491.

Google Scholar

[6] Bai J, Feng X C. Image Processing, IEEE Transactions on. Vol. 16(2007), p.2492.

Google Scholar

[7] Kanopoulos N, Vasanthavada N, Baker R L. Solid-State Circuits, IEEE Journal of. Vol. 23(1988), p.358.

Google Scholar

[8] Tian D, Xue D, Chen D, et al. Control and Decision Conference. (2013), p.37.

Google Scholar