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Grapefruit size estimating method based on binocular vision

A binocular vision, grapefruit technology, applied in measuring devices, image data processing, instruments, etc., can solve the problems of inability to accurately reflect fruit volume, low efficiency, poor accuracy, etc., to achieve high detection efficiency and accuracy, and strong practicability , Improve the effect of collection conditions

Inactive Publication Date: 2013-06-12
GUANGXI UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0003] The present invention provides a method for estimating grapefruit volume based on binocular vision, aiming to solve the problem that the existing grapefruit grading mainly relies on manual work, which has low efficiency and poor accuracy, and the quality of the image obtained by machine vision cannot accurately reflect the fruit. Volume, the cross-sectional area of ​​the fruit is generally selected as a substitute index to classify grapefruit and navel orange fruits, which has poor accuracy and cannot accurately reflect the volume of the fruit

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  • Grapefruit size estimating method based on binocular vision

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[0015] In order to make the purpose, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the invention.

[0016] figure 1 It shows the implementation flow of the grapefruit volume estimation method based on binocular vision provided by the embodiment of the present invention.

[0017] This pomelo volume estimation method comprises the following steps:

[0018] Step S101, obtaining grapefruit images;

[0019] Step S102, and image segmentation is performed on the two images respectively, and the pixels of pomelo in the image are obtained;

[0020] Step S103, represent the height of the grapefruit in the image with the difference between the maximum value and the minimum value of the row coordinates corres...

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Abstract

The invention discloses a grapefruit size estimating method based on binocular vision. Grapefruit images are obtained by using two shooting angles, wherein included angles of the two shooting angles are ninety degrees. The grapefruit images are segmented and pixel points in the images are obtained. Corresponding cross section areas of the grapefruit images are obtained. Grapefruit image capture conditions are improved and accurate estimation to grapefruit sizes are achieved by utilizing a neural network. Detecting efficiency and accuracy are high. Former problems are well solved. The grapefruit size estimating method based on the binocular vision is strong in practicability, convenient to operate and capable of having good values of popularization and application.

Description

technical field [0001] The invention belongs to the technical field of fruit volume estimation, in particular to a method for estimating the fruit volume of pomelo and navel orange based on binocular vision. Background technique [0002] In the existing automatic fruit grading, the fruit volume is an important technical index. In the existing grapefruit grading, it mainly relies on manual work, which has low efficiency and poor accuracy. In response to this phenomenon, the introduction of machine vision for automatic grading has become a development direction for grapefruit grading. However, since the quality of the acquired images cannot accurately reflect the fruit volume, the fruit cross-sectional area is generally selected as a substitute index for grading grapefruit and navel oranges. However, in the present In the methods of fruit visual inspection, there is a lack of accurate estimation methods for fruit volume, and most of them divide the fruit volume into several gr...

Claims

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Application Information

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IPC IPC(8): G01B11/00G06T7/00
Inventor 曹乃文胡波
Owner GUANGXI UNIVERSITY OF TECHNOLOGY
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