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Highland barley smut identification method

A recognition method and moire disease technology, applied in the field of image processing, can solve the problems of delaying the disease of highland barley, misjudgment, and affecting production, and achieve the effect of improving recognition efficiency and accuracy

Inactive Publication Date: 2019-05-17
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, barley moire disease is in the stage of visual judgment by experienced growers. Inexperienced growers may make mistakes in judgment, leading to wrong treatment methods, delaying the disease of highland barley, and affecting production.

Method used

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  • Highland barley smut identification method

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Embodiment Construction

[0039] A method for identifying barley moire disease, the method comprising:

[0040] Step 1: Obtain normal image samples of highland barley and moire disease image samples of highland barley, and convert the images into mat format;

[0041] Step 2: Denoise the image obtained in step 1 using a bilateral filtering method;

[0042] The template of the bilateral filter is: ω(i,j,k,l)=dis(i,j,k,l)*val(i,j,k,l);

[0043] Where: distance template (k,l) is the center coordinate of the template window, (i,j) is the coordinate of other coefficients of the template window, σ d is the standard deviation of the Gaussian function;

[0044] Range template coefficient generation formula: f(x,y) represents the image to be processed, f(x,y) represents the pixel value at point (x,y), (k,l) is the center coordinate of the template window, (i,j) is the template Coordinates of the other coefficients of the window, σ r is the standard deviation of the Gaussian function;

[0045] Step 3: Co...

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Abstract

The invention discloses a highland barley smut recognition method, and belongs to the field of image processing. The method comprises the following steps of converting the preprocessed image into an HSV color space, setting an H and S division level and a change range, counting the H and S component data in the image according to a setting result, creating a histogram, and normalizing the height of the histogram of the image. Respectively calculating a clustering center of the positive sample and a clustering center of the negative sample according to the histogram and the corresponding label;Wherein the detection images are used for respectively calculating the distances between the detection images and positive and negative sample clustering centers, and classifying the detection imagesand a class with a relatively close distance into a class; According to the method, the images of normal highland barley leaves and the highland barley leaves with the macular disease can be well classified by filtering and denoising the images, extracting color space characteristics and normalizing the color space characteristics, and the identification efficiency and accuracy of the highland barley macular disease are improved.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a method for identifying barley moire disease. Background technique [0002] Moire is one of the main diseases of highland barley production. Its outbreak has severely affected barley production. Moire disease can cause a large reduction in production and seriously affect the quality of highland barley. After the highland barley is infected with moire disease, the leaves will appear as small white transparent spots at the beginning, and the small spots will continue to expand and turn into green gray to light brown. The entire leaf turns yellow and dies. Moire is a multi-cycle disease. [0003] Moire disease is a common disease of green trees. It is widely distributed and serious. Moire disease mainly damages leaves and leaf sheaths, and also infects ears. The leaves of the diseased plants withered early, resulting in reduced yields, and severe field yields were re...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/40G06K9/62
Inventor 唐樟春金涛薛琦刘杰夏艳君刘亚鹏
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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