A Novel Improved Edge Detection Method

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Abstract:

In this paper, a novel morphological edge detection using adaptive weighted morphological operators is presented. The newly introduced operators employ weighted structuring element (SE) and apply multiplication or division in place of addition and subtraction in classical morphological operations. It judges its edge and its direction by means of training method and differentiable equivalent representations for the operators, efficient adaptive algorithms to optimize SEs are derived. The gradient of the adaptive weighted morphology utilizes a set of SEs to detect the edge strength with a view to decrease the spurious detail edge and suppressed the noise. Results will be presenting for images in comparison with the others edging detectors.

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Periodical:

Advanced Materials Research (Volumes 225-226)

Pages:

1096-1099

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Online since:

April 2011

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[1] JM. Pesaresi and J. A. Benediktsson, A new approach for the morphological segmentation of high-resolution satellite imagery, IEEE Trans. Geosci. Remote Sensing, vol. 39, no. 2, pp.309-320, (2001).

DOI: 10.1109/36.905239

Google Scholar

[2] Lihui Jiang and Lu xuhu Speckle suppressing based on morphological filter and fuzzy logic, Chinese Optics Letters. Vol. 1, Issue12, 689-691(2003).

Google Scholar

[3] M. H. Sedaaghi, Weighted morphological filter, Electronics Letters Online No: 198, (2002).

Google Scholar

[4] P. Soille and H. Talbot, Directional morphological filtering, IEEE Trans. Pattern Anal. Machine Intell, vol. 23, no. 11, pp.1313-1329, (2001).

DOI: 10.1109/34.969120

Google Scholar

[5] R.V. Babu, K.R. Ramakrishnan, and S.H. Srinivasan, Video Object Segmentation: A Compressed Domain Approach, IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, no. 4, pp.462-474 , April, (2004).

DOI: 10.1109/tcsvt.2004.825536

Google Scholar

[6] Dawei Oi and Fan Guo, Medical Image Edge Detection Based on Omni-directional Multi-scale Structure Element of Mathematical Morphology, Proceedings of the IEEE International Conference on Automation and Logistics August 18-21, 2007, Jinan, China.

DOI: 10.1109/ical.2007.4338956

Google Scholar

[7] Lihui Jiang and Yanying Guo Image edge detection based on adaptive weighted morphology, Chinese Optics Letters. Vol. 5, Issue 2, pp.77-78(2007).

Google Scholar