Fast image recognition method of insulator contour
A technology for image recognition and insulators, which is applied in character and pattern recognition, instruments, overhead lines/cable equipment, etc., and can solve the problems of rare image recognition methods for insulators
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Embodiment 1
[0042] The insulator image recognition method proposed by the present invention is developed based on the image features of the above-mentioned insulators, and the algorithm flow is shown in figure 1 . The details are as follows:
[0043] (1) Image reading, grayscale and edge contour extraction
[0044] The image recognition algorithm of the insulator is developed based on the Visual C++ platform, figure 2It is the interface diagram of the console to run the program, where the base class of the image package is CImage. The reading and processing of the image is realized by the functions encapsulated in CImage. CImage is a DIB image encapsulation class library developed by Microsoft, and it is also a base class often used in image processing. The source image that embodiment 1 collects sees image 3 shown. For a color image pixel with three components of R, G, and B, the brightness of the point is calculated according to the following formula:
[0045] I=0.3B+0.59G+0.11...
Embodiment 2
[0081] The insulator image recognition method proposed by the present invention is developed based on the image features of the above-mentioned insulators, and the algorithm flow is shown in figure 1 . The details are as follows:
[0082] (1) Image reading, grayscale and edge contour extraction
[0083] The image recognition algorithm of the insulator is developed based on the Visual C++ platform, figure 2 It is the interface diagram of the console to run the program, where the base class of the image package is CImage. The reading and processing of the image is realized by the functions encapsulated in CImage. CImage is a DIB image encapsulation class library developed by Microsoft, and it is also a base class often used in image processing. For the source image collected in embodiment 2, see Figure 5 shown.
[0084] For a color image pixel with three components of R, G, and B, the brightness of the point is calculated according to the following formula:
[0085] I=0....
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