Method and system for identifying white-leg shrimp disease on basis of machine vision

Abstract

The invention relates to a method and a system for identifying the white-leg shrimp disease on the basis of machine vision. The method comprises the following steps of: S1, judging whether an image is an image of a target to be subjected to disease identification, entering the step S2 if judging that the image is the image of the target to be subjected to disease identification, and stopping a program if judging that the image is not the image of the target to be subjected to disease identification; S2, extracting a color feature parameter of the image; S3, carrying out binary segmentation processing on the image; S4, extracting an area feature of the image which is subjected to binary segmentation processing, and calculating the number of pixel points in a target region; S5, carrying out edge detection processing on the image which is subjected to binary segmentation processing to obtain an edge image of the target region, then extracting a perimeter feature of the edge image and obtaining the number of pixels in a target edge region; S6, obtaining a circularity feature parameter by utilizing a ratio of the perimeter to the area of the target region; and S7, obtaining a disease identification result by training the color feature parameter and the circularity feature parameter which are used as training parameters and categorical data sources of a neural network classification algorithm and then classifying the color feature parameter and the circularity feature parameter.

Description

technical field [0001] The invention relates to the technical field of image acquisition and identification, in particular to a method and system for identifying diseases of Penaeus vannamei based on machine vision. Background technique [0002] With the rapid development of the social economy, people's demand for Penaeus vannamei continues to increase, and Penaeus vannamei creates a large amount of economic value every year. According to the statistics of relevant departments, taking Jiangsu and Zhejiang regions as an example, the output of Penaeus vannamei in the first half of 2010 was 27,600 tons. However, with the development of society, the disease of Penaeus vannamei has also expanded, causing a large number of Penaeus vannamei to die, causing huge economic losses, and also affecting people's large demand for shrimp products. [0003] Most of the current disease identification methods are based on experience identification, and experts identify them based on experienc...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a method and system for identifying diseases of Penaeus vannamei based on machine vision, so that after the image is rotated at any angle, it is not necessary to perform feature extraction on the circums

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