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Method for treating and classifying orange image based on RGB composite model

A composite model and image processing technology, applied in luminance and chrominance signal processing circuits, sorting, etc., can solve problems such as difficulty in establishing color models for citrus grading, difficulty in meeting real-time grading requirements, and lack of unified color grading standards. Good consistency, stable standards, and strong objectivity

Inactive Publication Date: 2010-07-28
CHINA AGRI UNIV
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AI Technical Summary

Problems solved by technology

One is that there is no uniform color grading standard, and it is difficult to establish a suitable and accurate color model to classify the color of citrus
Second, the computational complexity of the image processing algorithm is large, and it is difficult to meet the requirements of real-time grading, which restricts its practical application

Method used

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  • Method for treating and classifying orange image based on RGB composite model
  • Method for treating and classifying orange image based on RGB composite model
  • Method for treating and classifying orange image based on RGB composite model

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Embodiment

[0042] Classify first. When applying the method of the present invention to carry out classification, be divided into 4 grades by fruit diameter, be divided into 2 grades by color. Combining the two standards, the fruit is divided into 8 grades according to the grade classification method in Table 1.

[0043] Table 1 Classification method

[0044]

[0045]Before real-time grading of a batch of citrus of a certain variety, sampling is required to set the grade range. When wherein the fruit diameter grade range is set, manually select a fruit respectively by 4 size grades from this batch of citrus, calculate its maximum fruit diameter respectively with the method of the present invention, and use the fruit diameter average value of adjacent two grades as these two Class division value. When setting the range of color grades, manually select two fruits closer to the classification standard from this batch of citrus, calculate their color level values ​​respectively with the...

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Abstract

The invention relates to the leveling of oranges by robot visualization. The RGB complex model orange image leveling method comprises the robot visual system and computers processing digital images, with the pretreatment of sampled orange image mean, selecting R channel image for threshold value division and binary value to get the binary image and the target area of the fruit, extracting target boundary through the above acquired binary image, through the above procedure to acquire the max radius of the fruit d through the target boundary, acquiring the fruit target area through c=(r-g-b) / (r+g) complex model computer color level c, comparing the max fruit radius d and color level c with the preset scope to decide the level of each fruit.

Description

technical field [0001] The invention relates to a citrus grading method using machine vision, in particular to a citrus image processing and grading method based on an RGB (red-green-blue color channel) composite model. Background technique [0002] Citrus fruit is one of the most productive fruit types in my country, and it is also an important foreign trade fruit. However, due to the backward detection and grading technology after picking, most of the citrus are directly listed on the market without commercialization after picking, resulting in mixed grades, good and bad, which affects its commodity value, especially lack of competitiveness in the international market. [0003] The main technical links of post-harvest commercial processing of citrus include selection, cleaning, waxing, grading and packaging, among which grading is the core link in commercial processing. At present, the grading of citrus in my country is mainly done manually, which requires a lot of labor ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B07C5/04B07C5/342H04N9/77
Inventor 李伟张俊雄荀一
Owner CHINA AGRI UNIV
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