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Rock mass cross fracture image automatic separation and vectorization expression method

A technology of automatic separation and cross-cracks, applied in design optimization/simulation, special data processing applications, instruments, etc., can solve problems such as the inability to realize cross-crack vectorization, and achieve the effect of morphological analysis and statistical output.

Active Publication Date: 2019-03-26
CHINA UNIV OF MINING & TECH
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Problems solved by technology

[0012] In order to overcome the defect that the existing digital photographic measurement method cannot realize the vectorization of all intersecting cracks in the image range in the process of identifying image cracks, the present invention proposes a rock Automatic separation of rock mass intersecting fissure images and its vectorized expression method, the automatic separation of rock mass intersecting fissure images and vectorized expression are realized through the fracture pixel classification and tracking storage method

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  • Rock mass cross fracture image automatic separation and vectorization expression method
  • Rock mass cross fracture image automatic separation and vectorization expression method
  • Rock mass cross fracture image automatic separation and vectorization expression method

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[0041] The present invention will be further described below in conjunction with accompanying drawings and programming examples.

[0042] The present invention is realized through programming, and the vectorization process of rock mass intersecting fissure images is as follows: Figure 4 shown. Applying the present invention to crack vectorization is generally divided into two steps. The first step is to identify and store all crack endpoints in the image into an endpoint array according to the number of crack points in the pixel neighborhood grid in the skeletonized image. The second step starts from the endpoints in the endpoint array, traces and stores all the crack points under the corresponding endpoints, and completes the storage of a crack when encountering a crack endpoint. When all endpoints in the endpoint array have been stored, the operation ends.

[0043] During the crack point tracking process, if there is only one target crack point in the scanning neighborhoo...

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Abstract

The invention discloses a digital photographing measurement method capable of realizing automatic separation of all rock mass cross fracture images in an image range and vectorization expression of all rock mass cross fracture images. According to the method, the properties of the crack points are identified by analyzing the pixel point distribution condition in the neighborhood range of the crackpoints, and independent storage of all the cross cracks in the image is realized by designing the tracking storage algorithm based on the characteristics of the cross crack image. According to the method, the defect that all cross fractures cannot be automatically separated and vectorized in the image fracture identification process through an existing digital photographing measurement method isovercome, and morphological parameter analysis of a single specific fracture can be achieved on the basis of fracture vectorization.

Description

technical field [0001] The invention relates to a method for digital photographic measurement of rock mass fissure images, in particular to a method for automatically separating cross fissure images and performing vectorized expression through fissure pixel point classification and tracking storage methods, which is used for digital photography of rock mass fissures, etc. Measure. Background technique [0002] Accurate and quantitative observation of crack development in rock mass is of great significance to the safety control of rock engineering site construction. In many (underground) rock engineering, the distribution of cracks greatly affects the stability and permeability of rock mass, and then affects the construction safety of the project. At present, the field investigation and on-site measurement of rock mass fissures are mainly based on manual measurement methods. Manual measurement has low work efficiency and is easily affected by natural conditions, causing larg...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 李元海唐晓杰刘金杉杨苏刘克强
Owner CHINA UNIV OF MINING & TECH