Canny operator-based foam boundary recognition and grain size analysis method

A technology of boundary recognition and particle size analysis, applied in character and pattern recognition, computing, computer parts and other directions, can solve the problems of less detection point information, difficult to accurately extract image contours, etc., achieve good pertinence, reduce processing objects, enrich The effect of data content

Active Publication Date: 2014-02-26
应急管理部天津消防研究所
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the detection point information obtained by using this operator is less, and it is difficult to accurately extract the image contour
Although there are reports on the combined use of Canny operator and other operators (such as Sobel operator and Laplace operator), concepts such as "busbar" and "fitting circle" are introduced into Canny operator, and "corrosion and scanning" are applied many times. , Segmentation, and Filling” are rarely reported

Method used

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  • Canny operator-based foam boundary recognition and grain size analysis method
  • Canny operator-based foam boundary recognition and grain size analysis method
  • Canny operator-based foam boundary recognition and grain size analysis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0067] Step (1) Import the image, collect the foam image through a stereo microscope, adjust the brightness of the side light source and the ring cold light source of the stereo microscope during the acquisition process, supplemented by adjusting the contrast, exposure, and brightness of the software, and obtain a clear boundary bubble image;

[0068] Step (2) Judging the image, judging the type of foam according to the overall state of the foam in the image, the distance between the left and right borders of the foam and the upper and lower borders of the foam is less than 15% of the average distance between the borders (that is, the diameter of the foam), then the foam is a circle Shaped foam, in the image analyzed in this example, the proportion of circular foam to all foams is greater than 90%, so select "Circular Foam Recognition";

[0069] Step (3) Use "circular bubble recognition", first grayscale the original image, and get figure 2 , and then on the one hand, logari...

Embodiment 2

[0073] Step (1) Import the image, collect the foam image through a stereo microscope, adjust the brightness of the side light source and the ring cold light source of the stereo microscope during the acquisition process, supplemented by adjusting the contrast, exposure, and brightness of the software, and obtain a clear boundary bubble picture;

[0074] Step (2) Judging the image, judging the type of foam according to the overall state of the foam in the image, the distance between the left and right borders of the foam and the upper and lower borders of the foam is less than 15% of the average distance between the borders (that is, the diameter of the foam), then the foam is a circle In the image analyzed in this example, the proportion of circular foam to the total foam is far less than 90%, so select "Non-circular foam recognition";

[0075] Step (3) using "non-circular foam identification", firstly Figure 10 Perform Laplace enhancement to get Figure 11 , get the promin...

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Abstract

The invention discloses a Canny operator-based foam boundary recognition and grain size analysis method, which is characterized by comprising the following steps of: after calling an image, selecting between circular foam recognition and noncircular foam recognition according to the state of foams; graying an original drawing in the circular foam recognition; then, on one hand, performing logarithmic enhancement and critical binarization processing on a gray-scale drawing, on the other hand, introducing a Canny operator to recognize foam boundary in the gray-scale drawing and performing expansion processing, and finally superposing the two drawings and connecting lines of the foam boundary; performing Laplace enhancement processing on the original drawing in the noncircular foam recognition, introducing the Canny operator to extract the boundary of the foam, recognizing an identification mark step by step by repeatedly using corrosion, scanning, segmentation and filling and finally connecting the lines of the foam boundary; and finally obtaining a grain size analysis report. According to the method, the foams with small boundary and background contrast can be recognized, the calculation complexity is low, and the speed is high; and the method is suitable for objects such as fire extinguishing foams, floatation foams and well drilling foams.

Description

technical field [0001] The invention belongs to the field of computer image recognition, in particular to a foam boundary recognition and particle size analysis method with small boundary and background contrast, which is suitable for analyzing objects such as fire extinguishing foam, flotation foam and drilling foam. Background technique [0002] Foam is always in a process of flow and change, and the structure of foam affects the stability of foam, so the characterization of foam is very important for the performance of foam. In recent years, some researchers have studied the structure of foam based on the principle that liquid conducts electricity and gas does not conduct electricity, but this conductivity method can only obtain the overall information of liquid phase foam, but cannot accurately observe the structure of microscopic foam; some researchers also use Digital cameras record the microstructure of foam and study the propagation law of foam seepage, but the resea...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46G06K9/60
Inventor 夏建军宋波傅学成陈涛张宪忠胡英年王荣基
Owner 应急管理部天津消防研究所
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