Maize Seed Embryo and Position Inspection Based on Image Processing
Résumé
Orientational planting cannot only make maize leaf growing
consistently, but also improve the leaf photosynthetic capacity of unit
area and yield of maize. The “tip” direction was detected
and the angle of deflection was measured by using contour curvature
analysis method of maize seed, the S component of HSV channel was
preprocessed by Otsu method, the automatic extracting maize seeds embryo
and orientation information have been realized through image color
channel conversion, segmentation, preprocessing, and its contour
characteristic analysis. A rectangular region ROI in the image was
defined and counts up pixels within the region, the region-specific
positive and negative ROI pixels were compared by
TM threshold and the embryo side towards was
identified. This paper adopted Zheng-958, Jundan-20 and Zhongke-11 maize
seed for research object, each variety was repeated three times by using
the above methods. The results showed that the average accuracy of
embryo inspection was more than 95%; the direction average angle was 2.2
°.
Domaines
Informatique [cs]Origine | Fichiers produits par l'(les) auteur(s) |
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