Fruit and vegetable visual detection system based on multispectral light source imaging

Abstract

The invention discloses a fruit and vegetable visual detection system based on multispectral light source imaging, and aims to solve the problems that an existing fruit and vegetable visual detection system is limited by fruit and vegetable shapes and surface color saturation changes of the existing fruit and vegetable visual detection system, and high-brightness light spots are easily formed on the surfaces of fruits and vegetables to be detected; and image acquisition and subsequent analysis and detection results are influenced. The detection system comprises two LED lamp sets which are arranged in a bilateral symmetry mode and used for lighting the positions of fruits and vegetables to be detected, and light reflecting plates used for refracting light to the positions of the fruits and vegetables to be detected are arranged in the light irradiation direction of the LED lamp sets. A color camera and an infrared camera which are used for performing surface imaging on the to-be-detected fruits and vegetables are arranged above the to-be-detected fruits and vegetables in parallel; and according to the detection system, visual detection is carried out on the surfaces of fruits and vegetables through multispectral lamp source imaging, halo generated by direct light is avoided, and therefore the accuracy of information collection and subsequent analysis and detection results is improved, and high-precision visual detection is achieved.

Description

technical field [0001] The invention belongs to the technical field of fruit and vegetable detection, in particular to a fruit and vegetable visual detection system based on multispectral light source imaging. Background technique [0002] Visual inspection is a method of measuring and judging by using machines instead of human eyes. Visual inspection converts the captured target into an image signal through machine vision products (ie, image capture device), and transmits it to a dedicated image processing system. According to pixel distribution and brightness , color and other information into digital signals; the image system performs various calculations on these signals to extract the characteristics of the target, and then controls the on-site equipment actions according to the results of the discrimination. It is used to detect defects and prevent defective products from being delivered to consumers. Functional aspects are of inestimable value. [0003] The character...

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Problems solved by technology

[0009] Aiming at the deficiencies of the prior art, the purpose of the present invention is to provide a fruit and vegetable visual detection system based on multi-spectral light source imaging. Due to the limitations, it is easy to form high-brightness spots on the surface of the tested fruits and vegetables, which affects the technical problems of image collection and subsequent analysis of the test results; the detection system uses multi-spectral light source imaging to visually detect the surface of fruits and vegetables, avoiding direct light The generated halo improves the accuracy of information collection and subsequent analysis and detection results, and realizes high-precision visual detection

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