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Method for automatically detecting integrity of shrimp body based on computer vision

A computer vision and automatic detection technology, applied in the field of computer vision, can solve problems such as inability to detect the integrity of shrimp

Active Publication Date: 2016-03-09
ZHEJIANG UNIV
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Problems solved by technology

[0004] In order to solve the problem that the existing technology cannot detect the integrity of prawns, the invention discloses a method for automatically detecting the integrity of prawns based on computer vision, which can be directly used in the sample pretreatment link of prawn farming and processing plants, and the different Whole shrimp culling

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  • Method for automatically detecting integrity of shrimp body based on computer vision
  • Method for automatically detecting integrity of shrimp body based on computer vision
  • Method for automatically detecting integrity of shrimp body based on computer vision

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Embodiment Construction

[0054] The present invention will be described in further detail below in conjunction with the accompanying drawings and the embodiment of shrimp.

[0055] like figure 1 As shown, a method for automatic recognition of the integrity of shrimp, the steps of which include a training phase and a testing phase. The training stage is mainly to extract the contour information of the shrimp image, including the following stages: region of interest extraction→grayscale processing→local threshold segmentation→median filtering of 5×5 template→obtaining connected regions→opening operation→closing operation→expansion and erosion Processing → Obtain contour information, and the extracted sample is used as a template. In the test phase, the contour information of the shrimp image dynamically extracted through the above steps is mainly extracted, and then the direction, deflection angle, and displacement offset are corrected in turn by using the affine transformation method according to the ...

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Abstract

The invention discloses a method for automatically detecting integrity of a shrimp body based on computer vision. The method comprises the steps of: 1) regarding an integral shrimp body as a template shrimp, and extracting an outline image of the template shrimp as an outline template; 2) extracting an outline image of a tested shrimp, and correcting a morphological position of the outline of the tested shrimp by adopting an affine transformation method according to the outline template; 3) extracting a main skeleton curve of the tested shrimp in the outline image, taking an obtained maximum curvature point of the shrimp body as a supporting point for abdominal rotation, and correcting an abdominal deviation angle of the tested shrimp; 4) and calculating similarity of the outline image of the template shrimp and the outline image of the tested shrimp by adopting an 8-neighbourhood free chain code method based on template traversal; 5) and setting a similarity threshold value, and completing the integrity judgment of the shrimp body. The method can be directly applied to a sample preprocessing link of a prawn aquaculture and processing plant, removes the non-integral shrimps, and meets the requirement of product culling classification during product processing.

Description

technical field [0001] The invention relates to a method in the technical field of computer vision, in particular to a method for automatically detecting the integrity of a shrimp body based on computer vision. Background technique [0002] In the prawn processing factory, the defective prawns in the processed prawn products are removed by manual selection, which is not only inefficient but also prone to fatigue of the workers; in today’s relatively scarce and expensive labor force, a large amount of labor is used to process prawn products The method of selecting authentic shrimp in China is outdated, and there is an urgent need for a simple, fast, and automatic method to replace manual selection. This will not only reduce labor costs, but also improve the accuracy and efficiency of selected and graded processed products, and improve Efficiency in product inspection and processing. [0003] Generally, the prawns caught from the ponds of the farms usually have incomplete shr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06V10/7515G06F18/22
Inventor 成芳刘子豪
Owner ZHEJIANG UNIV
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