Falling type corn ear holographic character rapid measuring system and method

Abstract

The invention provides a falling type corn ear holographic character rapid measuring system and method. The falling type corn ear holographic character rapid measuring system comprises a conveyer which is used for enabling single-ear corn ears to sequentially fall off in vertical states, an image collection device which is connected with the conveyer which is used for collecting omni-bearing images of the fallen single-ear corn ears, a processing device which is connected with the image collection device and used for controlling the image collecting device to collect the omni-bearing images, obtaining the single-ear corn ears omni-bearing images collected by the image collecting device, splicing the omni-bearing images, performing three-dimension space coordinates according to parallax of the omni-bearing images, restoring space distribution information of the single-ear corn ears and accordingly calculating ear character parameters of the obtained single-ear corn ears. The falling type corn ear holographic character rapid measuring system can achieve measurement of core ear characters and ear character parameters without damage and is rapid in measurement speed, accurate in measurement result, low in costs and high in efficiency.

Description

technical field [0001] The invention relates to the technical field of computer vision, and in particular to a system and method for rapid measurement of holographic traits of ears of corn that fall. Background technique [0002] Maize ear seed testing is an important link in the process of maize crop genetics and breeding, which is of great significance to maize production and scientific research. At present, traditional methods such as visual ruler measurement are mostly used in domestic corn seed testing, and the amount of corn that needs to be tested in each batch is very large. The traditional process of seed testing often takes more than one month, and there are excessive labor costs and There are many disadvantages such as serious waste, low work efficiency and low precision. [0003] The prior art discloses a corn ear seed test method, system and device based on computer vision technology, which can measure multiple appearance parameters such as ear length, ear row ...

AI Technical Summary

Problems solved by technology

At present, traditional methods such as visual ruler measurement are mostly used in domestic corn seed testing, and the amount of corn that needs to be tested in each batch is very large. The traditional process of seed testing often takes more than one month, and there are excessive labor costs and There are many disadvantages such as serious waste, low work efficiency and low precision

[0003] The prior art discloses a corn ear seed test method, system and device based on computer vision technology, which can measure multiple appearance parameters such as ear length, ear row number, row grain number, and bald tip length of corn ear. The designed device cannot collect the full-angle information of the ear; the prior art also discloses a corn ear trait detection device, which uses a roller to obtain the full-angle information of the ear, and then it takes a long time for the design to collect the full-angle information; in addition , the prior art also discloses a fully automatic corn single ear seed testing device and method, the design of this device is mechanically complicated and difficult to implement

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