Method for extracting information on expansion and elimination of dead wood of pine wilt disease in air photos of unmanned aerial vehicle

A pine wood nematode disease and information extraction technology, which is applied in the field of computer digital image processing, can solve problems such as the problem of unmanned aerial photography of pine wood nematode disease and dead tree extraction, difficulty in coordination and other problems, and achieves the ability of human control Powerful, method-flexible effects

Inactive Publication Date: 2010-07-07
ZHEJIANG FORESTRY UNIVERSITY
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Problems solved by technology

But it is usually difficult to get satisfactory results, because the optimal segmentation scale does not exist in many cases: some areas need to be larger, some need to be smaller, it is difficult to coordinate
None of the existing methods can solve the problem of extracting dead trees from pine wood nematode disease and dead trees by drone

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  • Method for extracting information on expansion and elimination of dead wood of pine wilt disease in air photos of unmanned aerial vehicle
  • Method for extracting information on expansion and elimination of dead wood of pine wilt disease in air photos of unmanned aerial vehicle
  • Method for extracting information on expansion and elimination of dead wood of pine wilt disease in air photos of unmanned aerial vehicle

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Embodiment Construction

[0041] Below in conjunction with embodiment and with reference to accompanying drawing, the present invention will be described in further detail:

[0042] The color of the dead forest trees is different according to the time of death. The dead trees are bright red, and the long dead trees are dark red or reddish brown. This method has good adaptability to this color difference. In the present invention, the diseased and dead tree area in the image space is called the target area, other areas are called non-target areas, the diseased and dead trees in the feature space are called target classes, and other classes are called non-target classes.

[0043] For the implementation process, see figure 1 .

[0044] Step 1, input the true color digital photo of the drone. Input the original RGB true color UAV digital photo by conventional method. The diseased and dead forest area is stipulated as the target area, and other areas are non-target areas. The target area appears red in ...

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Abstract

The invention provides a method for extracting information on the expansion and elimination of dead wood of pine wilt disease in air photos of an unmanned aerial vehicle and belongs to the technical field of digital image processing. A color digital photo serving as an input image is switched from a RGB mode to a CIE(Luv)mode by smoothening treatment; histograms are counted, and small-scale histograms are initially clustered by a non-parametric clustering method, namely climbing-peak method; the clusters belonging to a dead wood area are selected from the image space and then merged to form a seed cluster; in the histograms, the seed-based clusters are subjected to mathematical morphology expansion by a 6-way three-dimensional mould plate, and lattices corresponding to the pixels out of the dead wood are allowed to enter a target cluster; and the non-dead wood area pixels which are expanded to enter the dead wood area are extracted from the image by a mouse, and the lattices to which the pixels belong are eliminated from the target cluster of the histograms and cannot be expanded any more in following expansion operations. The expansion and elimination operations are repeated until a satisfactory result is achieved.

Description

【Technical field】 [0001] The invention belongs to the technical field of computer digital image processing, and in particular relates to a computer-human-computer interaction recognition method for dead forest trees caused by pine wood nematode disease in unmanned aerial vehicles. 【Background technique】 [0002] Pine wood nematode is a devastating disease of pine tree species, and it is the most serious and threatening alien invasive forest disease currently occurring in my country. The disease has the characteristic of jumping transmission in the mode of transmission. Timely removal of diseased and dead trees is the most effective way to prevent the disease from spreading. Diseased and dead forests are scattered in the mountains, and only relying on artificial ground to search is not only labor-intensive, but also easy to miss, leaving hidden dangers for the spread of diseases. Use a drone to carry a high-definition digital camera, take photos from the air, and then match...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46
Inventor 葛宏立杜华强王鑫黄明祥
Owner ZHEJIANG FORESTRY UNIVERSITY
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