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Network curtain image recognition method of fall webworm larvae

An American white moth and image recognition technology, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as high pollution, low efficiency, and extensive manual spraying, and achieve high real-time performance and avoid conversion effects

Active Publication Date: 2013-07-31
山东中宇航空科技发展有限公司
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AI Technical Summary

Problems solved by technology

[0005] The technical solution of the present invention is to study the automatic identification method of the screen image of white moth larvae in view of the current situation of extensive, low efficiency and high pollution of artificial spraying, and lay the foundation for the development of intelligent target spraying robot device

Method used

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  • Network curtain image recognition method of fall webworm larvae
  • Network curtain image recognition method of fall webworm larvae
  • Network curtain image recognition method of fall webworm larvae

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Embodiment

[0026] Embodiment: when the present invention is carried out, at first according to the white moth larva screen image color distribution feature, select RGB color space, then analyze the difference of each channel data of screen, blade and branch, adopt (R-B) color difference model and combine The maximum inter-class variance method and the threshold algorithm, segment the screen image, use the Freeman coding algorithm and the area marking method to mark the white area in the binary image, use the area of ​​​​the white area as a judgment basis to remove part of the noise, and use the improved dilation and corrosion The image compensation method is used to compensate some discontinuous white areas, and finally the specific outline of the white moth larva screen is obtained.

[0027] Implementation steps of the present invention are as follows:

[0028] 1) Image color space and color channel determination

[0029] Divide the objects in Figure 2 into three major categories: whit...

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Abstract

The invention discloses a network curtain image recognition method of fall webworm larvae, which comprises the steps of 1) determining a color space and a color channel of an image, 2) conducting binarization processing on the image, 3) removing a noise area, and 4) removing noise and repairing the image. Experiments show that the network curtain image recognition precision of the method is above 85%, and the processing time of a single picture is less than 40ms.

Description

technical field [0001] The invention relates to a method for recognizing screen images of white moth larvae, which can realize automatic recognition of screen images of 1-4 instar larvae of white moth. Background technique [0002] American white moth, also known as American lamp moth and autumn curtain caterpillar, has strong fecundity and harms more than 300 kinds of plants, especially broad-leaved trees. It is a worldwide quarantine pest. The insect was first discovered in Dandong City, Liaoning Province, my country in 1979. At present, it has spread rapidly to Tianjin, Beijing, Hebei, Liaoning, Shandong, Shaanxi and other places. American white moth damages trees most during the larval stage. There are 7 instar larvae, and the 1-2 instar larvae only eat the mesophyll, leaving the veins, and the entire leaf is in the shape of a transparent gauze. The 3rd instar larvae bite the leaves into missing shells, the 4th instar larvae begin to divide into several small groups, a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/54
Inventor 赵颖孙群李猛王翀
Owner 山东中宇航空科技发展有限公司
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