Rapid image recognizing method of power tower pole outline

A power tower, image recognition technology, applied in character and pattern recognition, instruments, computer parts and other directions, can solve rare problems

Inactive Publication Date: 2012-12-19
ANHUI UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there are few researches on the image recognition method of power poles and towers at home and abroad.

Method used

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  • Rapid image recognizing method of power tower pole outline
  • Rapid image recognizing method of power tower pole outline
  • Rapid image recognizing method of power tower pole outline

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0030] The whole power tower image recognition method extracted by the present invention is developed according to the image characteristics of the above-mentioned power tower, and its specific process is shown in figure 1 , the details are as follows:

[0031] (1) Convert the captured color image into a grayscale image through brightness calculation, and smooth and denoise the image;

[0032] The identification method of power poles and towers is developed based on the Visual C++ platform, in which the base class of image packaging is CImage, and the reading and processing of images are realized by the functions encapsulated in CImage.

[0033] 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:

[0034] (1)

[0035] Follow the formula (1) to convert the color image to grayscale image. The present invention adopts a realizable two-dimensional adaptive Wiener filter to perform ada...

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PUM

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Abstract

The invention relates to a rapid image recognizing method of a power tower pole outline. The method comprises the following steps: (1) converting a shot color image into a gray level image through brightness calculation, and carrying out smooth denoising on the image; (2) based on an improved Harris angle point detecting method, realizing the detection to power tower pole pixel in an outline image of a known area shape; (3) firstly gridding the image, and subsequently calibrating the power tower pole pixel by adopting a gridding angle point density clustering algorithm through the clustering to the angle point density; and (4) calibrating and outputting the power tower pole pixel. By detecting a pole tower area in the image, a small range area for detecting various members can be provided; detailed capital construction data of each pole tower are backed up and can be checked in power departments; specific positions and numbers of various members in the image can be extracted accurately based on the information, and moreover the intelligent diagnosis to normal faults of various members can be further realized.

Description

technical field [0001] The invention relates to a pattern recognition method developed by computer vision technology, in particular to a fast image recognition method for the outline of a power tower. Background technique [0002] For a long time, most of the work of installation, operation, maintenance and overhaul of transmission lines in my country has been mainly done by manpower, and the level of mechanization is far behind the international advanced level. With the emergence of high-voltage, high-power, and long-distance transmission lines, the transmission lines are getting farther and farther away from cities and main traffic roads, making their construction, operation and maintenance more and more difficult. The development of modern aviation industry and automation technology provides new technical methods and means for the construction and operation and maintenance of transmission lines. Automated inspection of areas that are difficult to reach by manpower by mea...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/40
Inventor 董冲
Owner ANHUI UNIVERSITY OF TECHNOLOGY
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