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Fruit sorting system based on machine vision

A machine vision, sorting system technology, used in sorting, instrumentation, image analysis, etc.

Inactive Publication Date: 2018-09-04
LIAOCHENG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Finally, the use of machine vision technology does not have problems similar to the decline in sorting efficiency caused by manual fatigue

Method used

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  • Fruit sorting system based on machine vision
  • Fruit sorting system based on machine vision

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Experimental program
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Embodiment

[0033] An embodiment of a fruit sorting system based on machine vision and an image processing system for implementing the method, thereby realizing the replacement of manual production by machines.

[0034] The schematic diagram of the image processing system includes the object to be detected, light source, optical lens, industrial camera, photoelectric sensor, camera and computer interface, computer, image processing software and transmission device.

[0035] figure 1 A schematic diagram of the system designed for this purpose, including:

[0036] Obtain the original image of the fruit through the combination of the selected camera and the lens;

[0037] Send the digital image of the fruit to the computer for storage through the interface between the camera and the computer;

[0038] The image processing software is the Halcon software installed in the computer, which is used to grayscale, noise suppression, threshold segmentation, feature extraction, classification based...

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Abstract

The invention realizes fruit sorting on two aspects such as hardware design and model selection and software system development by using a machine vision technology, and comprises the steps of designing and selecting a machine vision industrial camera, a lens and a lighting scheme to ensure the fruit sorting system to continuously and steadily obtain a high-quality fruit image; suppressing salt-and-pepper noise and Gaussian noise in the fruit image by using median filtering and binomial filtering; highlighting edge information of the fruit image by adopting an anti-sharpening mask method at the same time; realizing fruit classification by adopting a supervised Gaussian mixture model clustering algorithm; and calibrating data grasped by a robot guided by a monocular camera through a Zhang Zhengyou calibration method, and calculating the actual grasping position and pose.

Description

technical field [0001] This system is the application of machine vision in fruit sorting, which belongs to the field of image processing and machine vision, involves Halcon software, and specifically involves the classification, grading and sorting of fruits. Background technique [0002] In the past two decades, machine vision technology has been developed to a greater extent, especially in industrial and agricultural production, which has gradually shown the trend of replacing manual high-risk, high-intensity, repetitive and complicated work. This mainly depends on the unique advantages shown by machine vision. First of all, machine vision technology adds visual non-contact sensors to industrial production lines, which improves the flexibility of production from the side. Secondly, the visual image carries a large amount of production information, and the desired production data can be obtained in a non-contact manner through the analysis of the target image. Finally, th...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06T5/00G06T7/136G06T7/194G06T7/62G06T7/70G06T7/80G01D21/02B07C5/342
CPCG06T7/136G06T7/194G06T7/62G06T7/70G06T7/80G01D21/02B07C5/3422B07C2501/009G06F18/23G06F18/24155G06F18/214G06T5/70
Inventor 葛广英董腾张广世尚振峰
Owner LIAOCHENG UNIV
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