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A Carrot Surface Defect Detection Method Based on Image Processing

A defect detection and image processing technology, applied in measurement devices, instruments, scientific instruments, etc., can solve the problems of vague measurement criteria and difficult carrot detection, and achieve the effect of quantitative detection, overcoming subjectivity, and improving production efficiency.

Inactive Publication Date: 2019-01-18
QINGDAO AGRI UNIV +2
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Problems solved by technology

According to the domestic trade standard of the People's Republic of China (SB / T10450-2007) Carrot Sales Grade Requirements (issued by the Ministry of Commerce of the People's Republic of China on December 28, 2007), the key indicators affecting the sales grade of carrots are cracking, bending, fibrous roots, etc., but its measurement criteria It is relatively vague, which brings great difficulties to the online detection of carrots. Accurate detection of carrots requires the quantification of these key indicators

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  • A Carrot Surface Defect Detection Method Based on Image Processing
  • A Carrot Surface Defect Detection Method Based on Image Processing
  • A Carrot Surface Defect Detection Method Based on Image Processing

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[0055] In order to make the object, technical solution and advantages of the present invention clearer, 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 present invention.

[0056] Examples, please refer to Figure 1-Figure 5 : figure 1 Schematically shows the overall flow of carrot surface defect detection disclosed in the present invention; figure 2 It schematically shows a flow chart of a carrot fibrous root image quantification detection method disclosed by the present invention; image 3 Schematically shows the pit detection principle in the carrot fibrous root detection method disclosed by the present invention; Figure 4 A schematic diagram of the detection of the upper part of the carrot disclosed by the present invention is schematically shown; Figure 5...

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Abstract

The invention discloses a carrot surface defect detection method based on image processing. The method comprises image preprocessing and detection of four kinds of defects comprising fibrous roots, bending, cracking and fracturing influencing carrot appearance quality. A carrot image is preprocessed at first, and then fibrous roots, bending, cracking and fracturing are detected respectively. In fibrous root detection, a concave point detection method is adopted for gradually judging points on the carrot contour; in bending detection, a circumscribed convex polygon in the carrot area is obtained, and the area ratio of the circumscribed convex polygon to the carrot area is calculated; in cracking detection, Canny edge detection and Hough conversion are carried out on an R component image. Upper portion cracking and lower portion cracking are detected on the basis of judging the carrot direction. The carrot surface defects are automatically detected by adopting the imaging processing technology, carrot appearance quality detection efficiency and accuracy can be greatly improved, and the labor cost is greatly saved.

Description

technical field [0001] The invention relates to a method for detecting the appearance quality of agricultural products used in the field of agricultural production and processing, in particular to a method for quantitatively detecting surface defects such as carrot fibrous root, bending, cracking and breaking. Background technique [0002] The grading and sales of carrots help to improve the market competitiveness of carrots and increase economic benefits. At present, some carrot production and processing enterprises mainly rely on manual methods for detection and grading. Manual detection and grading methods increase labor costs and cannot guarantee grading. The accuracy and consistency of the selection results, and the production efficiency is low. With the increase of labor costs, the traditional manual method cannot meet the current mass production needs of carrot processing enterprises. [0003] Computer vision provides an efficient, low-cost, and high-accuracy automati...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/952
Inventor 邓立苗韩仲志扈志强耿琪超
Owner QINGDAO AGRI UNIV
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