System of recognizing quality of amphisarca in high speed based on machine vision

Abstract

A high-speed melon and fruit quality recognition system based on machine vision, including an image acquisition system, an optical imaging system and an optical fiber sensor. The optical imaging system includes a light box with diffused frosted glass embedded in the inner wall, a color CCD camera and a point light source uniformly distributed inside the light box. On the left and right, the two image acquisition cards in the image acquisition system are respectively connected to the two cameras through video cables. The external trigger function of the image acquisition card is used to control the image capture by using the periodic level signal generated by the optical fiber sensor. The industrial computer The image processing unit performs subsequent processing on the image. The invention adopts external signal trigger control image acquisition, double CCD three-dimensional stereo vision and color image processing technology, and realizes high-speed, high-resolution and non-damaging discrimination of the external quality of melons and fruits.

Description

Technical field: [0001] The invention relates to a high-speed melon and fruit quality identification system based on machine vision, which uses external signal trigger control image acquisition, double CCD three-dimensional stereo vision and color image processing technology to realize high-speed, high-resolution and non-damaging discrimination of the external quality of melons and fruits , belongs to the field of agricultural machinery technology. Background technique: [0002] my country is a big fruit producing country, the output ranks first in the world, but the export volume only accounts for about 1% of the total output, and the trade volume only accounts for about 2% of the world's melons and fruits. The reason for this situation is that the production efficiency, comprehensive quality and commercialization level of fruit products in my country are low. Compared with developed countries, there are obvious gaps in many aspects: processed products account for a small p...

AI Technical Summary

Problems solved by technology

Its instruction manual only mentions that "through the recognition of computer vision recognition parts, the detection of all appearance quality indicators such as the shape, size, color, skin smoothness, fruit surface defects and damage of the fruit is completed at the same time", and it does not involve high-speed real-time detection in practical applications. Concrete method for accurately collecting omnidirectional images of inspected melons and fruits

However, the method of using traditional vertical light source irradiation, obtaining an all-round image of the outer surface of the fruit through the rotation of the measured melon and fruit, and using a computer to control the image acquisition card for image acquisition is difficult to be used in practical applications due to the limitations of current computer processing speed and hardware cost. High-speed acquisition of high-resolution melon and fruit images

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