International Journal of Image, Graphics and Signal Processing(IJIGSP)

ISSN: 2074-9074 (Print), ISSN: 2074-9082 (Online)

Published By: MECS Press

IJIGSP Vol.2, No.2, Dec. 2010

Leaf Vein Extraction Based on Gray-scale Morphology

Full Text (PDF, 496KB), PP.25-31

Views:135   Downloads:3


Xiaodong Zheng,Xiaojie Wang

Index Terms

Leaf vein; gray-scale morphology; image segmentation; linear object


Leaf features play an important role in plant species identification and plant taxonomy. The type of the leaf vein is an important morphological feature of the leaf in botany. Leaf vein should be extracted from the leaf in the image before discriminating its type. In this paper a new method of leaf vein extraction has been proposed based on gray-scale morphology. Firstly, the color image of the plant leaf is transformed to the gray image according to the hue and intensity information. Secondly, the gray-scale morphology processing is applied to the image to eliminate the color overlap in the whole leaf vein and the whole background. Thirdly, the linear intensity adjustment is adopted to enlarge the gray value difference between the leaf vein and its background. Fourthly, calculate a threshold with OSTU method to segment the leaf vein from its background. Finally, the leaf vein can be got after some processing on details. Experiments have been conducted with several images. The results show the effectiveness of the method. The idea of the method is also applicable to other linear objects extraction.

Cite This Paper

Xiaodong Zheng,Xiaojie Wang, "Leaf Vein Extraction Based on Gray-scale Morphology", IJIGSP, vol.2, no.2, pp.25-31, 2010.


[1]Jin Yingen. Botany. Beijing: Science Press, 2006.

[2]Nam Y., Hwang E., and Kim D., “A similarity-based leaf image retrieval scheme: Joining shape and venation features,” Computer Vision and Image Understanding, 2008, 110 (2): 245-259. 

[3]Park J, Hwang E, and Nam Y, “Utilizing venation features for efficient leaf image retrieval,” The Journal of Systems and Software, 2008, 81: 71–82.

[4]Soille P., “Morphological image analysis applied to crop field mapping,” Image and Vision Computing, 2000, 18: 1025-1032

[5]Kirchgessner N., Scharr H., and Schurr U., “Robust vein extraction on plant leaf images,” In: 2nd IASTED International Conference Visualization, Imaging and Image Processing, Malaga, Spain, 9–12 September, 2002.

[6]Fu H., and Chi Z., “A two-stage approach for leaf vein extraction,” In: Proceedings of International Conference on Neural Networks and Signal Processing, vol. I, Nanjing, Jiangsu, China, December 12–15, 2003, pp. 208–211.

[7]Li Y.F., Zhu Q.S., Cao Y.K., Wang C.L, “A Leaf Vein Extraction Method Based On Snakes Technique,” In: International Conference on Neural Networks and Brain 2005, vol. 2, 13–15 Oct. 2005, pp. 885–888.

[8]Yan Li, Zheru Chi, and David D. Feng, “Leaf Vein Extraction Using Independent Component Analysis,” 2006 IEEE Conference on Systems, Man and Cybernetics, Vol. 5, Taipei, 2006, pp. 3890-3894.

[9]Image engineering (Ⅱ)—image analysis, zhang yujin, beijing: Tsinghua university press, 2005. 10

[10]S. Mukhopadhyay and B. Chanda, “Multiscale morphological segmentation of gray-scale images,” IEEE Transactions on Image Processing, 2003, 12(5): 533-549.

[11]Krishnan Nallaperumal, K.Krishnaveni, Justin Varghese, S. Saudia, S. Annam, and P. Kumar, “A novel Multi-scale Morphological Watershed Segmentation Algorithm,” International Journal of Imaging Science and Engineering, 2007, 1(2): 60-64.

[12]M. A. Arag′on-Calvo, Jones, Bernard J. T., R. van de Weygaert and J. H. vander Hulst, “The multiscale morphology filter: identifying and extracting spatial patterns in the galaxy distribution,” Astronomy & Astrophysics, 2007, 474: 315–338. 

[13]R.C. Gonzalez and R.E. Woods. Digital Image Processing, 2nd. Ed. Prentice-Hall, 2002.

[14]R.C. Gonzalez and R.E. Woods. Digital Image Processing using matlab. Ed. Prentice-Hall, 2004.