Image identification method and image classification method for coprinus comatus

A technology of image recognition and grading method, which is applied in the field of agricultural informatization to achieve the effect of online detection and recognition and automatic machine grading

Inactive Publication Date: 2013-06-26
JIANGSU UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Due to the phenomenon of overlap and occlusion in the natural growth state of Coprinus comatus, the image outline recognized by the existing technology is quite different from the real Coprinus comatus outline

Method used

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  • Image identification method and image classification method for coprinus comatus
  • Image identification method and image classification method for coprinus comatus
  • Image identification method and image classification method for coprinus comatus

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Embodiment Construction

[0056] The technical solution of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0057] Step 1) Resize the original image to a size suitable for image processing;

[0058] Step 2) Convert the image obtained in step 1) into a grayscale image under the R-0.5G+0.5B component, see figure 1 ;

[0059] Step 3) Obtain the gray value of the image obtained in step 2), and determine the boundary contour of the overlapping part of the two Coprinus comatus images according to the change of the gray value, so as to realize the segmentation of the overlapping image; first determine the center coordinates of the two Coprinus comatus monomers, The gray value of the image on the line connecting the two centers presents an increase-decrease-increase-decrease trend, and the position where the "concave point" appears is the intersection and division of the two mushroom bodies, which is the first a boundary point. Then us...

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Abstract

The invention discloses an image identification method and an image classification method for coprinus comatus. The method comprises the step of identification of the edge outline of a pileus, the step of restoring of an outline image of the pileus, and the step of feature extraction of the pileus. The coprinus comatus is classified by using the following method: when the diameter of a minor axis of the pileus is less than 20mm, the pileus is in the fourth class, when the diameter of the minor axis of the pileus is less than 20-30mm, the pileus is in the third class, when the diameter of the minor axis of the pileus is less than 30-40mm, the pileus is in the second class, and when the diameter of the minor axis of the pileus is less than 40mm, the pileus is in the a first class. The method is applicable to online detection, identification and classification of edible mushrooms in industrialized production and can be used for industrialized production of the coprinus comatus.

Description

technical field : [0001] The invention belongs to the field of agricultural informatization, and specifically relates to image recognition and classification of Coprinus comatus. Background technique : [0002] Coprinus comatus fruiting bodies are soft in texture, crisp and tender in tissue, and high in moisture content. Mechanical damage will inevitably occur during automatic picking, which will add unnecessary errors to the grading work after picking. The factory production of Coprinus comatus is of great significance. The image recognition of Coprinus comatus belongs to the field of agricultural informatization, and the image recognition method is mainly used to determine the outline of Coprinus comatus. However, because Coprinus comatus grows in clusters, there are different degrees of overlap and occlusion among them, and the occlusion mostly occurs at the cap, which makes the image recognition of Coprinus comatus more difficult; The contour is also quite different ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46
Inventor 袁俊杰李萍萍李晓文
Owner JIANGSU UNIV
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