Non-invasive Edge Detection of Leaves Based on Order Morphology

  • Yanlei Xu
  • Qi Zhang
  • Chenxiao Li
  • Xindong Wang
  • Xiaotian Meng
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 545)


Non-invasive edge detection of leaves is the key step of leaf feature extraction. Traditional algorithms for edge detection of leaves are usually invasive, since the detection is carried out after the leaves are picked. We apply order morphology in this study to non-invasive edge detection of leaves. First we analyze the algorithm for order morphology edge detection of leaves. In particular, the impact of structural elements and percentile on the detection is discussed. Based on the theory of order morphology transform of leaf images, the operator for detecting the leaf edge is constructed. Finally simulation experiment is carried out on leaf images under the conditions of natural illumination and artificial noise, respectively. Results show that the proposed algorithm is accurate and fast in leaf edge extraction and not sensitive to noise.


Order morphology Plant leaf Edge detection 


  1. 1.
    Coombes, A.J., Debreczy, Z.: The Book of Leaves, pp. 10–15. The University of Chicago Press, Ltd., London (2010)Google Scholar
  2. 2.
    Gheng, L.Y., Zhang, J.T., Wang, Q.Y.: Mean-shift-based color segmentation of images containing green vegetation. Comput. Electron. Agric. 65(1), 93–98 (2009)CrossRefGoogle Scholar
  3. 3.
    Lopez-Molina, C., De Baets, B., Bustince, H.: Generating fuzzy edge images from gradient magnitudes. Comput. Vis. Image Underst. 115(11), 1571–1580 (2011)CrossRefGoogle Scholar
  4. 4.
    Wen, M., Zhong, C.: Application of Sobel algorithm in edge detection of images. China High-tech Enterp. 6(5), 57–62 (2008)Google Scholar
  5. 5.
    Dong, W., Shisheng, Z.: Color image recognition method based on the prewitt operator. In: International Conference on Computer Science and Software Engineering, pp. 170–173 (2008)Google Scholar
  6. 6.
    Cheng, J., Xue, R.: Segmentation of medical images with canny operator and GVF snake model. In: Proceedings of the 7th World Congress on Intelligent Control and Automation, pp. 899–903 (2008)Google Scholar
  7. 7.
    Tizhoosh, H.R.: Fast fuzzy edge detection. In: Proceedings of Annual Meeting of the North American on Fuzzy Information Processing Society, pp. 239–242 (2002)Google Scholar
  8. 8.
    Ma, X., Jiang, Y.: A fast edge detection roberts algorithm of coal gangue binary image. Chin. J. Sci. Instrum. 26(4), 595–597 (2005)Google Scholar
  9. 9.
    Husin, Z., Shakaff, A.Y.M., Aziz, A.H.A.: Embedded portable device for herb leaves recognition using image processing techniques and neural network algorithm. Comput. Electron. Agric. 89(1), 18–29 (2012)CrossRefGoogle Scholar
  10. 10.
    Li, H., Wang, K., Bian, H.: Cotton leaf image edge detection using Mean-shift algorithm and lifting wavelet transform. Trans. CSAE 26(Supp. 1), 182–186 (2010)Google Scholar
  11. 11.
    Lin, K., Si, H., Zhou, Q., et al.: Plant leaf edge detection based on fuzzy logic. Trans. Chin. Soc. Agric. Mach. 46(6), 227–231 (2013). (in Chinese with English abstract)Google Scholar
  12. 12.
    Xu, Y., Jia, H., Bao, J.: Plant leaf vein edge detection based on fuzzy order morphology. Trans. Chin. Soc. Agric. Eng. 31(13), 193–198 (2015)Google Scholar
  13. 13.
    Hu, C., Li, P.: Edge detection of hardwood seedlings leaves based on intuitionistic fuzzy set. J. Nanjin For. Univ. (Nat. Sci. Ed.) 38(6), 193–198 (2014)Google Scholar
  14. 14.
    Arce, G.R., Foster, R.E.: Detail preserving ranked-order based filters for image processing. IEEE Trans. ASSP 37(1), 83–98 (1989)CrossRefGoogle Scholar
  15. 15.
    Yan, X.: Applications of order morphology to image edges detection. Sig. Process. 13(4), 357–362 (1997)Google Scholar
  16. 16.
    Hu, D., Tian, X.: A multi-directions algorithm for edge detection based on fuzzy mathematical morphology. In: Proceedings of the 16th International Conference on Artificial Reality and Telexistence Workshops (ICAT 2006), pp. 2133–2136 (2006)Google Scholar
  17. 17.
    Serra, J.: Morphological filtering: an overview. Sig. Process. 38(1), 3–11 (1994)CrossRefGoogle Scholar
  18. 18.
    Cousty, J., Najman, L., Dias, F., Serra, J.: Morphological filtering on graphs. Comput. Vis. Image Underst. 117(4), 370–385 (2013)CrossRefGoogle Scholar
  19. 19.
    Wilburn, B.: Theory of ranked-order filters with applications to feature extraction and interpretive transforms. Adv. Imaging Electron Phys. 112, 233–332 (2000)CrossRefGoogle Scholar
  20. 20.
    Ye, B., Peng, J., Lu, H.: Study on application of order morphology filtering for detection of small target and point target. Acta Autom. Sinic 28(6), 990–994 (2002)Google Scholar
  21. 21.
    Zhao, C., Hui, J., Wang, W., et al.: A class of adaptive ranked-order morphological filters. J. Image Graph. 5(8), 674–677 (2000)Google Scholar
  22. 22.
    Xu, Y., Zhao, J., Jiao, Y.: Gray-scale image edge detection based on order morphology transformation. In: The 7th World Congress on Intelligent Control and Automation (WCICA 2008), pp. 5970–5975 (2008)Google Scholar
  23. 23.
    Chi, J., Fang, S., et al.: Gray-scale image edge detection based on multi-structuring elements order morphology transformation. J. Image Graph. 11(1), 41–46 (2006)Google Scholar
  24. 24.
    Chi, J., Fang, S., et al.: Infrared image edge detection based on multiplex order morphology transformation. J. Northeast. Univ. (Nat. Sci.) 26(2), 103–106 (2005)Google Scholar
  25. 25.
    Yan, H., Liu, Y.: Edge detection method based on adaptive order morphology filter. Appl. Res. Comput. 28(5), 1979–1980 (2011)Google Scholar
  26. 26.
    Yan, H., Zhao, X.: Edge detection method based on Tsallis entropy difference of remotesensing image. Appl. Res. Comput. 26(9), 3598–3600 (2009)Google Scholar
  27. 27.
    Ye, B., Peng, J.: Moving small target detect ion based on order morphology filtering in infrared image sequences. J. Data Acquisition Process. 16(3), 315–319 (2001)Google Scholar
  28. 28.
    Zhao, J., Yanlei, X., Jiao, Y.: A kind of fast arithmetic of gray-scale image edge detection based on the order morphology. Chin. J. Electron. 36(11), 2195–2199 (2008)Google Scholar
  29. 29.
    Guo, J., Lin, X.: The analysis and study of structure element of mathematical morphology. Comput. Sci. 29(7), 113–115 (2002)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  • Yanlei Xu
    • 1
  • Qi Zhang
    • 1
  • Chenxiao Li
    • 1
  • Xindong Wang
    • 1
  • Xiaotian Meng
    • 1
  1. 1.College of Information and TechnologyJiLin Agricultural UniversityChangchunChina

Personalised recommendations