Fully-automatic rice panicle character extraction system based on large view X-ray visible light registration imaging

Abstract

The invention relates to machine vision detection technology, in particular to a fully-automatic rice panicle character extraction system based on large view X-ray visible light registration imaging.A panicle reflected light table image and a transmission light image are synchronously obtained through a large view X-ray / visible light registration imaging system, and mathematical representation ofpanicle yield characters is obtained by using image registration fusion and combining a graphical analysis algorithm. In view of the importance of crop phenotypic detection platform development, defects of difficult degranulation and difficult distinguishing of solid grains from flat grains on traditional lossy rice panicle measurement, and the limitation of an imaging view, the fully-automatic rice panicle character extraction system based on large view X-ray / visible light registration imaging is studied and designed, the panicle yield characters can be rapidly and accurately obtained underthe condition of not passing through degranulation and separating the solid grains and the flat grains, a feasible path is provided for application of double mode imaging in panicle yield character lossless analysis, an image of complete panicles is obtained through a large view two-dimension moving platform, the problem of an image view is solved, and a complete and clear image is obtained.

Description

technical field [0001] The invention belongs to machine vision detection technology, in particular to a system for fully automatic extraction of rice ear traits based on large-field X-ray / visible light registration imaging, that is, the surface image of rice ear reflected light and transmitted light can be simultaneously obtained through visible light and X-ray The internal image information of the panicle neck node and panicle grains, and the two images are registered and fused, combined with the graphic analysis algorithm to obtain the mathematical representation of rice panicle yield traits, including effective panicle, number of panicle grains, seed setting rate, 1000-grain weight, panicle length, primary branch The number of stems, the average length of primary branches, the number of secondary branches, and the density of grains. Background technique [0002] As one of the world's three major food crops, rice is the staple food for more than half of the world's populat...

AI Technical Summary

Problems solved by technology

Researchers have done a lot of research on the non-destructive testing of rice ears, but there are no reports on the key yield traits of rice ear seed setting rate and thousand-grain weight, and it is difficult to obtain information on the degree of filling inside rice ears with a single imaging method. , it is impossible to effectively distinguish solid grains and shriveled grains on rice spikes

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