An Optical Processing Method for Automatic Recognition of Crop Pest Image
An optical processing and automatic recognition technology, applied in character and pattern recognition, instruments, calculations, etc., can solve the problems of unsuitable industrial application and low recognition accuracy, so as to improve the separation effect of bugs, weaken the recognition interference, and reduce the overlap rate Effect
Active Publication Date: 2021-06-04
刘嘉津
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[0005] In view of this, in order to solve the problem that the automatic identification technology of crop pests is too low in the actual application process and cannot be applied industrially, the present invention further provides a real environment under the interference conditions of various complex factors. Preliminary Optical Processing Method of Pest Image Automatic Recognition Technology Used in Pest Real-time Monitoring
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[0033] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0034] The invention discloses the steps of an optical processing method for automatic recognition of images of crop pests used in monitoring equipment:
[0035] 1. Uniform light treatment of real pictures of pests taken by field monitoring equipment
[0036] Since the real-color images of crop pests collected regularly by monitoring equipment in the field have certain differences in lighting, these images must be uniformly lighted before recognition, so that the images can achieve a more uniform true-color recognition environment. ...
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The invention discloses an optical processing method for automatic recognition of images of crop pests, comprising the following steps: S1, using real-time images of crop pests regularly collected by monitoring equipment as true-color images; S2, performing illumination and color matching on the true-color images. Level balance, as the initial image for identification, to keep the characteristics of the real-time monitoring and collected images basically unified; S3, according to the size difference of the target pest individual, perform different grayscale image and binary image processing on the initial image. The invention solves the problem that the automatic identification technology of crop pests is too low in the actual application process and cannot be applied industrially.
Description
technical field [0001] The invention relates to the technical field of crop pest identification, and more specifically relates to an optical processing method for automatic identification of crop pest images used in monitoring equipment. Background technique [0002] With the development needs of my country's agricultural modernization, the automatic monitoring of crop pests is imperative, and the automatic recognition technology of crop pest images is an important means of automatic monitoring. The academic circles have carried out many years of research in this field and achieved some results. However, these research results are all completed under laboratory conditions, which cannot meet the actual monitoring needs of automatic recognition of crop pest images under complex environmental interference. [0003] The problems in the research mainly focus on the optical processing of image samples before automatic identification. Compared with the actual monitoring work, the ...
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IPC IPC(8): G06K9/00G06K9/38G06K9/40G06K9/46
CPCG06V20/00G06V10/28G06V10/30G06V10/56
Inventor 刘嘉津
Owner 刘嘉津