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

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 ...

AI Technical Summary

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 grading results all show bad effects, and provides a computerized method for the quality of fresh corn ears. The visual inspection grading method also provides a detection device used to realize the method

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