Method and device for computer visual inspection classification of quality of fresh corn ears

A technology of computer vision and grading method, which is applied in computing, image analysis, color/spectral characteristic measurement, etc. It can solve the problems of poor accuracy and reproducibility of grading results, high subjectivity and randomness of manual grading methods, etc.

Inactive Publication Date: 2011-01-26
JILIN UNIV
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the subjectivity and arbitrariness of the artificial grading method, which makes the accuracy and reproducibility of the g

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  • Method and device for computer visual inspection classification of quality of fresh corn ears
  • Method and device for computer visual inspection classification of quality of fresh corn ears
  • Method and device for computer visual inspection classification of quality of fresh corn ears

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[0083] The present invention is described in detail below in conjunction with accompanying drawing:

[0084] refer to figure 1 The computer vision detection and grading method for the quality of fresh corn ears of the present invention is that under certain lighting conditions, the image acquisition equipment collects the images of fresh corn ears and transmits them to the computer, and the computer extracts and reflects the quality of fresh corn ears according to the acquired images of fresh corn ears. The characteristic information of ear quality, the intelligent analysis software in the computer integrates all the information obtained, and completes the quality grading of fresh corn ears.

[0085] The ear length, diameter, bald tip, lack of kernels, abnormal kernels, color, arrangement state, plumpness, maturity and other image features of fresh corn ears are used as the characteristic parameters of fresh corn ear quality to evaluate the grade of fresh corn ears.

[0086] ...

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Abstract

The invention discloses a method and a device for computer visual inspection classification of the quality of fresh corn ears, which aim to solve the problem that an artificial classification method makes the accuracy and the reproducibility of classification generated adverse effects. The method comprises the following steps of: 1, under a certain illumination condition, acquiring images of the fresh corn ears passing through a place right below a camera by an image acquisition device, and transmitting the images to a main control computer; 2, according to the acquired images of the fresh corn ears, performing image analysis by the main control computer through intelligent analysis software through the steps of: partitioning backgrounds of the images of the fresh corn ears by adopting an iteration-replacement method, and then extracting characteristics as quality indexes of the fresh corn ears on the basis of the images obtained after the background partitioning of the images of the fresh corn ears; and 3, on the basis of the quality indexes, which are acquired through the image analysis, of the fresh corn ears, and according to a grading standard that the fresh corn ears are classified into three grades, performing grade estimation on the fresh corn ears by using a fuzzy neural network. The invention also provides a detection device for implementing the method.

Description

technical field [0001] The invention relates to a method for detecting the quality of agricultural products and a detection device used for implementing the detection method. More specifically, the invention relates to a computer vision detection and grading method and device for the quality of fresh corn ears. Background technique [0002] Indicators such as appearance quality and maturity are important basis for the evaluation of fresh corn ear grades. There are relatively many studies on the use of computer vision technology to detect corn grain shape, variety, and quality at home and abroad. For the quality inspection of whole ears of corn, especially fresh corn ears, Research in this area is rarely reported. For example, Panigrahi S, MisraMK, Willson S. published in "Agricultural Computers and Electronics" (Computers and Electronics inAgriculture) 20 Volume 1 (January 1998) "Irregular and invariant moments for corn ear shape grading Evaluation" (Evaluations of fractal ...

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Application Information

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IPC IPC(8): G01N21/27G06T7/00
Inventor 孙永海王慧慧
Owner JILIN UNIV
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