Maize Seed Embryo and Position Inspection Based on Image Processing
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 curvatur
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Abstract. 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 °. Keywords: Image processing, Maize seed, Orientational planting, Position inspection, Embryo.
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Introduction
Maize is an important crop in the world. The orientational planting cannot only make maize leaf growing consistently, but also improve the maize leaf photosynthetic capacity of unit area and yield of maize. Thereby, enhancing unit area of maize leaf photosynthesis is able to increase yield [1-2]; there are many researchers to try to put maize seeds manually to be fixed and achieve orientational sowing, but the seeding efficiency is too low to suit for large-scale operations. In order to improve the orientational seeding efficiency and effect, it has to find a way for the seed orientation and fixed in the soil to adopt the combination of mechanization and automation, so the key technology is to achieve orientation of maize seeds. Because of its unique and irregular appearance characteristics of maize seed, it is more difficult to achieve *
Corresponding author.
D. Li and Y. Chen (Eds.): CCTA 2013, Part II, IFIP AICT 420, pp. 1–9, 2014. © IFIP International Federation for Information Processing 2014
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Y. Wang et al.
orientation of maize seeds. Therefore, the image processing technology can be used to identify the embryo of the maize seed. The image processing technology has been widely used in agricultural products inspection and grading, such as cereal grain color, grain shape and type of identification, fruit shape and defects [3-9] and other exterior quality inspection, but the application of maize seed orientation for mechanized seeding research rarely reported. In this paper, the embryo and position of maize were obtained by the image processing technology to provide technical support for subsequent mechanized orientational planting.
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Image Processing and Inspection Methods
According to the situation of the maize sowing into the soil, there are 13 kinds of position and orientation relative to the row direction [10], but only four kinds of that are easy to i
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