Automatic corn ear character parameter detecting device based on machine vision

Abstract

The invention discloses an automatic corn ear character parameter detecting device based on machine vision, which comprises an image collecting module, a rotating and weighing module and a control processing module, wherein the image collecting module is used for collecting the images of each line of corn ears which are to be detected and rotate for a circle, and transmitting the collected images to the control processing module; the rotating and weighing module is used for measuring the weight of the corn ears to be detected, driving the corn ears to be detected to rotate, and sending a rotated signal to the control processing module when rotation begins; and the control processing module is used for sending a rotating signal and a weighing signal to the rotating and weighing module, receiving the rotated signal sent by the rotating and weighing module, simultaneously sending an image collecting signal to the image collecting module, processing the image transmitted by the image collecting module, obtaining the character parameter of the corn ears to be detected, and displaying in real time. The device integrates image collection, processing and display into whole, can be used for weighing and measuring parameter increase and has high measuring efficiency and precision.

Description

technical field [0001] The invention relates to the technical field of corn seed testing, in particular to an automatic detection device for corn ear trait parameters based on machine vision. Background technique [0002] At present, maize seed testing generally adopts the method of manual measurement to obtain ear trait parameters required for seed testing: ear length, ear thickness, bald length, number of grains per row, number of grains per ear, ear weight, bald rate, seed yield, Grain color. Manual measurement and visual inspection have defects such as slow speed, high intensity, strong subjectivity, large errors, poor timeliness, time-consuming, laborious and frequent mistakes, and some characteristics are difficult to describe quantitatively. At present, there is no automatic device for testing corn species both at home and abroad. [0003] In the relevant literature, many studies are based on image processing technology, using images to record and obtain the morphol...

AI Technical Summary

Problems solved by technology

This kind of device only completes the image acquisition, and the method of wire suspension is used to collect the image, which is inconvenient for rotation control. With the help of other software for parameter extraction, the parameters of corn ear traits investigated are relatively few, which cannot meet the needs of seed testing; the experimental platform collects The image can only be completed in a dark room, and the external conditions are relatively high

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