Automatic identification method of foliar disease image of greenhouse vegetable

Abstract

Provided is an automatic identification method of a foliar disease image of a greenhouse vegetable. The automatic identification method of the foliar disease image of the greenhouse vegetable comprises the steps of carrying out image collection on a foliar disease of the greenhouse vegetable, automatically generating a threshold, carrying out estimation by using a two-dimensional maximum entropy principle and combining the average grey degree grade and the intra-neighborhood grey degree grade of an image, optimizing the automatically-generated threshold by using a differential evolution algorithm, using an average value of results obtained through more than 30 times of differential evolution algorithm optimization which is independently carried out to serve as a threshold for image segmentation, carrying out segmentation on the known foliar disease image of the greenhouse vegetable by using the threshold, obtaining an image of the area of a disease speck, analyzing features of the disease speck, obtaining feature parameters such as the color, the texture and the shape of the disease speck of the foliar disease image of the greenhouse vegetable, carrying out fusion on the features of the disease speck, and carrying out disease type feature identification. The automatic identification method of the foliar disease image of the greenhouse vegetable can achieve rapid and effective diagnosis of the foliar diseases in a greenhouse without damage to sick leaves of the greenhouse vegetable, and can be well applied to disease monitoring of the greenhouse vegetable.

Description

technical field [0001] The invention relates to an image automatic recognition method. In particular, it relates to an intelligent greenhouse vegetable leaf disease image automatic recognition method using computer image processing technology. Background technique [0002] Facility vegetables refer to the seasons or areas where the open field is not suitable for the growth of vegetable crops. Specific facilities such as greenhouses are used to artificially construct an environment suitable for vegetable growth, and to produce high-quality, high-yield, and stable-yield vegetables in a planned way according to people's needs. regulate agriculture. During the "Eleventh Five-Year Plan" period, my country's facility vegetables have achieved rapid development. As of the end of 2010, the annual planting area of ​​protected vegetables in my country is estimated to be about 4.667 million hm 2 , accounted for 95% of my country's protected cultivation and 80% of the world's protecte...

AI Technical Summary

Problems solved by technology

However, in the existing methods for crop disease detection, the image acquisition mostly adopts a single definite image acquisition method under ideal specific background conditions, and some even take pictures after the diseased leaves are picked and placed in a specific background. Not widely available

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