Rapid image-recognizing method of power line profile
An image recognition and power line technology, applied in character and pattern recognition, overhead line/cable equipment, instruments, etc., can solve problems such as line interruption, rare power line image recognition methods, and Italian blackouts, etc., and achieve good application prospects.
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Embodiment 1
[0039] The power line image recognition method proposed by the present invention is developed according to the image characteristics of the power line, and the algorithm flow chart is shown in figure 1 . The details are as follows:
[0040] (1) Image reading, grayscale and edge contour extraction
[0041] The power line identification method 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. 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.
[0042] 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:
[0043] I=0.3B+0.59G+0.11R (1)
[0044] Convert the color image to grayscale image according to formula (1). image 3...
Embodiment 2
[0081] The power line image recognition method proposed by the present invention is developed according to the image characteristics of the power line, and the algorithm flow chart is shown in figure 1 . The details are as follows:
[0082] (1) Image reading, grayscale and edge contour extraction
[0083] The power line identification method 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. The source image that embodiment 2 gathers sees Figure 5 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:
[0084] I=0.3B+0.59G+0.11R (1)
...
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