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Carrot surface defect detecting method

A detection method and technology for surface defects, applied in measurement devices, material analysis by optical means, instruments, etc., can solve problems such as low efficiency, increased labor costs, and difficulty in unifying quality standards for manual sorting, and achieve increased flexibility. , the effect of reducing size and power consumption

Inactive Publication Date: 2019-11-12
中山德著智能科技有限公司
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Problems solved by technology

[0002] The graded sales of agricultural products can increase the price of high-quality products, and at the same time, products of different grades can also meet the different needs of market consumption; the existing quality classification of agricultural products basically depends on manual sorting, and the quality standards of manual sorting are difficult to unify. Strong, quality control is difficult to guarantee, and the efficiency is not high. With the increase of labor costs, the labor cost of manual sorting is increasing day by day. A low-cost and high-efficiency solution is needed to meet the large-scale requirements of carrot processing enterprises. sorting, processing, sales
There is no mature product on the market that can meet the large-scale processing and production of carrots. Based on this, this project proposes a method for detecting surface defects of carrots based on machine vision.

Method used

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Embodiment Construction

[0026] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings. It should be noted here that the descriptions of these embodiments are used to help understand the present invention, but are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below may be combined with each other as long as they do not constitute a conflict with each other.

[0027] Such as figure 1 As shown, in the flow chart of a carrot surface blemish detection method of the present invention, the carrot surface blemish detection method includes the following steps: Step S1, preprocessing: obtaining the RGB image of the carrot surface, and performing image format conversion on the RGB image and output the target image file after color space conversion; step S2, detection: carry out contour detection, green head detection, black spot detec...

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Abstract

The invention discloses a carrot surface defect detecting method which comprises the following steps: S1, pretreating: obtaining an RGB image of a carrot surface, carrying out image format conversionand color space conversion on the RGB image to output a target image file; S2, detecting: carrying out contour detection, green head detection, black spot detection, crack detection, variegation detection, length detection, diameter detection, draw ratio detection, tortuosity detection and taper detection on the carrot according to the target image file; and S3, quantizing: judging whether the detecting result information is qualified, if yes, quitting the detecting program, otherwise, outputting the unqualified detecting item. According to the carrot surface defect detecting method, machine vision is applied to automatic grading and sorting of agricultural products, so that strict unification of the quality standard of agricultural products, large scale of the agricultural product, and automatic production and processing of the agricultural products are facilitated.

Description

technical field [0001] The invention relates to the technical field of agricultural product detection, in particular to a method for detecting surface defects of carrots. Background technique [0002] The graded sales of agricultural products can increase the price of high-quality products, and at the same time, products of different grades can also meet the different needs of market consumption; the existing quality classification of agricultural products basically depends on manual sorting, and the quality standards of manual sorting are difficult to unify. Strong, quality control is difficult to guarantee, and the efficiency is not high. With the increase of labor costs, the labor cost of manual sorting is increasing day by day. A low-cost and high-efficiency solution is needed to meet the large-scale requirements of carrot processing enterprises. Sorting, processing and sales. There is no mature product in the market that can meet the large-scale processing and producti...

Claims

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Application Information

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IPC IPC(8): B07C5/342B07C5/12G01N21/952
CPCB07C5/12B07C5/3422G01N21/952
Inventor 江昊王斌王亮江威邓嵩源
Owner 中山德著智能科技有限公司
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