Wheat germ sheath recognition based on image features

doi:10.3969/j.issn.1004-1524.2019.02.19

›› 2019, Vol. 31 ›› Issue (2): 326-332.DOI: 10.3969/j.issn.1004-1524.2019.02.19

• Biosystems Engineering • Previous Articles Next Articles

Wheat germ sheath recognition based on image features

YAN Jianwei¹, SU Xiaodong^{1, *}, ZHAO Yuan¹, LIU Jinping²

1. College of Mechanical Engineering, Guizhou University, Guiyang 550025, China;
2. College of Agriculture, Guizhou University, Guiyang 550025, China

Received:2018-05-28 Online:2019-02-25 Published:2019-03-06

Abstract

Abstract: Using color features of the image, wheat seed image was firstly divided and wheat seed contour moment was determined. The centroid coordinates of wheat seed were determined according to the contour distance. Then the coleoptile image was divided according to color image of wheat coleoptile image to obtain wheat coleoptile. Followed by Zhang-Suen parallel refinement algorithm, wheat coleoptile was refined to obtain the coleoptile skeletal line, and then obtain all the points on the skeletal line image (single pixel) to perform a multi-segment linear curve approximation of the coleoptile skeletal line. Finally, orientation of the coleoptile and position of the cut point of wheat coleoptile were determined based on centroid coordinates of wheat seed outline, approximate curve of the coleoptile skeletal line, and cutting distance (given). Image processing of 30 pairs of wheat coleoptiles was verified by image processing. The results showed that this method could accurately segment wheat coleoptile image, quickly identify wheat coleoptile, attitude and other information. Identification and localization of wheat coleoptile based on image color features provided an accurate, rapid and visual method for the identification, extraction and analysis of wheat coleoptile, and it had great significance for the construction of a visual system and automatic recognition of germ sheath.

Key words: wheat coleoptile, color characteristics, thinning algorithm, recognition, cutting position

CLC Number:

YAN Jianwei, SU Xiaodong, ZHAO Yuan, LIU Jinping. Wheat germ sheath recognition based on image features[J]. , 2019, 31(2): 326-332.

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Wheat germ sheath recognition based on image features

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