Crop leaf disease image enhancement and rapid detection method

A technology of image enhancement and detection methods, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of low accuracy of leaf lesion identification and susceptibility to external environment

Pending Publication Date: 2021-04-09
SHIJIAZHUANG ACADEMY OF AGRI & FORESTRY SCI +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0010] For this reason, the present invention provides a crop leaf disease image enhancement and rapid detection method to solve the existing problems of low identification accuracy of crop leaf disease and being easily affected by the external environment

Method used

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  • Crop leaf disease image enhancement and rapid detection method
  • Crop leaf disease image enhancement and rapid detection method
  • Crop leaf disease image enhancement and rapid detection method

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Embodiment

[0046] refer to figure 1 , the present embodiment discloses a crop leaf disease image enhancement and rapid detection method, the method is:

[0047] Based on the complex background of the sliding window, a small sample of crop leaf disease image data is used for image enhancement, and the training sample data is divided into ground, healthy leaf and diseased spots. After the training is completed, the training model is output, and the sliding window is used to cut and traverse. Image, identify the image in each sliding window, and output the identification label, and reset the color of the sliding window to a red border for the lesion category. After the sliding window traversal is completed, output all the detection results marked with the red frame.

[0048] In the field of computer vision, typical data enhancement methods include flipping, translation, zooming, color dithering, adding noise, etc., and each data enhancement method can double the number of samples. In this ...

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Abstract

The invention discloses a crop leaf disease image enhancement and rapid detection method. The method comprises the steps of collecting small-sample crop leaf disease image data based on a complex background of sliding windows, carrying out the image enhancement, dividing training sample data into a ground class, a healthy leaf class and a disease spot class, and outputting a training model after the training is completed; adopting the sliding windows to cut and traverse the images, identifying the image in each sliding window, outputting an identification label, resetting the color of the sliding windows to be a red frame for marking according to disease spots, completing traversal of the sliding windows, and outputting all detection results marked by the red frame. The method solves the problems that existing crop leaf lesion identification is low in accuracy and is easily affected by the external environment.

Description

technical field [0001] The invention relates to the technical field of crop protection, in particular to an image enhancement and rapid detection method for crop leaf diseases. Background technique [0002] Plant diseases are a major challenge for agriculture, which seriously affect crop production and cause great losses to farmers. Accurate and rapid identification and positioning of crop diseases and insect pests will help early control of diseases and insect pests and reduce economic losses. Traditionally, relying on expert experience to judge the incidence of crop diseases and relying on the naked eye to identify disease characteristics often leads to misdiagnosis. There are many kinds of crop diseases, and it is not easy to classify the diseases. It is difficult to quantify the diseased leaves, but in terms of prevention and control, different treatments need to be carried out according to the diseases. In the actual agricultural production process, traditional disease...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/90G06K9/62
CPCG06T7/0002G06T7/11G06T7/90G06T2207/30188G06T2207/30204G06T2207/20081G06T2207/10024G06F18/2411
Inventor 田国英吴华瑞李瑜玲杨英茹张燕朱华吉黄媛高欣娜
Owner SHIJIAZHUANG ACADEMY OF AGRI & FORESTRY SCI
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