[1] He Kunxian, Wang Qing, Xiao Yanchang, Wang Xiaobing, et al. Image edge detection based on nonsubsampledcontourlet transform and mathematical morphology [J]. Journal of Southeast University (English Edition), 2012, 28 (4): 445-450. [doi:10.3969/j.issn.1003-7985.2012.04.013]

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Image edge detection based on nonsubsampledcontourlet transform and mathematical morphology()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

28

Issue:

2012 4

Page:

445-450

Research Field:

Computer Science and Engineering

Publishing date:

2012-12-30

Info

Title:

Image edge detection based on nonsubsampledcontourlet transform and mathematical morphology

Author(s):

He Kunxian¹;  Wang Qing¹;  Xiao Yanchang¹;  Wang Xiaobing²

¹ School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China
² Firing Office, Nanjing Artillery Academy, Nanjing 211132, China

Keywords:

image edge detection;  nonsubsampled contourlet transform(NSCT);  modulus maxima;  dual-threshold;  mathematical morphology;  structural elements

PACS:

TP391.41

DOI:

10.3969/j.issn.1003-7985.2012.04.013

Abstract:

A novel algorithm for image edge detection is presented. This algorithm combines the nonsubsampled contourlet transform and the mathematical morphology. First, the source image is decomposed by the nonsubsampled contourlet transform into multi-scale and multi-directional sub-bands. Then the edges in the high-frequency and low-frequency sub-bands are respectively extracted by the dual-threshold modulus maxima method and the mathematical morphology operator. Finally, the edges from the high-frequency and low-frequency sub-bands are integrated to the edges of the source image, which are refined, and isolated points are excluded to achieve the edges of the source image. The simulation results show that the proposed algorithm can effectively suppress noise, eliminate pseudo-edges and overcome the adverse effects caused by uneven illumination to a certain extent. Compared with the traditional methods such as LoG, Sobel, and Canny operators and the modulus maxima algorithm, the proposed method can maintain sufficient positioning accuracy and edge details, and it can also make an improvement in the completeness, smoothness and clearness of the outline.

References:

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[3] Haralick R M, Sternberg S R, Zhuang Xinhua. Image analysis using mathematical morphology[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1987, 9(4): 532-550.
[4] Zhao Yuqian, Gui Weihua, Chen Zhencheng. Edge detection based on multi-structure elements morphology[C]//Proceedings of the 6th World Congress on Intelligent Control and Automation. Dalian, China, 2006: 9795-9798.
[5] Huang Hailong, Wang Hong, Guo Fan, et al. A multi-shape and multi-scale edge detection algorithm based on mathematical morphology [J]. Journal of Northeastern University: Natural Science, 2010, 31(10): 1483-1486.(in Chinese)
[6] Zhang Y T, Yin Z K, Wang J Y. A new image edge detection scheme [J]. Journal of Electronics & Information Technology, 2008, 30(6): 1295-1299.(in Chinese)
[7] Do M N, Vetterli M. The contourlet transform: an efficient directional multiresolution image representation[J]. IEEE Transactions on Image Processing, 2005, 14(12): 2091-2106.
[8] Da Cunha A L, Zhou Jianping, Do M N. Nonsubsampled contourlet transform: filter design and applications in denoising[C]//Proc of the IEEE International Conference on Image Processing. Genova, Italy, 2005:1749-1752.
[9] Da Cunha A L, Zhou Jianping, Do M N. The nonsubsampled contourlet transform: theory, design, and application[J]. IEEE Transactions on Image Processing, 2006, 15(10): 3089-3101.
[10] Xiao Yihan, Xi Zhihong, Hai Tao, et al. Image edge detection based on nonsubsampled contourlet transform [J]. Systems Engineering and Electronics, 2011, 33(7): 1668-1672.(in Chinese)

Memo

Memo:

Biographies: He Kunxian(1979—), male, graduate; Wang Qing(corresponding author), male, doctor, professor, 3398a@263.net.
Foundation items: The National Key Technologies R& D Program during the 12th Five-Year Period of China(No.2012BAJ23B02), Science and Technology Support Program of Jiangsu Province(No.BE2010606).
Citation: He Kunxian, Wang Qing, Xiao Yanchang, et al. Image edge detection based on nonsubsampled contourlet transform and mathematical morphology[J].Journal of Southeast University(English Edition), 2012, 28(4):445-450.[doi:10.3969/j.issn.1003-7985.2012.04.013]

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