High-voltage wire image detection method based on local self-adaptation threshold value partitioning algorithm

Abstract

The invention provides a high-voltage wire image detection method based on a local self-adaptation threshold value partitioning algorithm. The method comprises the following steps of reading in an image, converting the color image into a gray level image, and carrying out image enhancement; secondly, carrying out background removing, edge detection and image local self-adaptation threshold value partitioning algorithm processing on the enhanced image to obtain a target candidate area. The image local self-adaptation threshold value partitioning algorithm processing particularly comprises the steps of utilizing windows with the size equal to a preset pixel to slide in the image pixel by pixel until traversal is carried out on the whole image, calculating the sum of all pixels in each window in an image subarea corresponding to the window, of the sum is larger than or equal to a threshold value, enabling the right middle value in the windows to be 1, and or, enabling the right middle value in the windows to be 0, wherein 0 represents the background, and 1 represents a target; thirdly, carrying out noise removing on the target candidate area to obtain a final detected high-voltage wire pixel set, and marking the positions where the high-voltage wires are located on an original image.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to a high voltage line image detection method and system based on a local adaptive threshold segmentation algorithm. Background technique [0002] First of all, the article "Key Technology and Development Trend of Helicopter Collision Avoidance Radar" in the second issue of "Modern Radar" magazine in February 2011 introduced a set of data about helicopter accidents. On average, 10 accidents occur, compared to 0.3 for fixed-wing aircraft. Among all kinds of accidents, the proportion caused by collision with natural objects such as hills and trees on low-altitude flight corridors and man-made objects such as power lines, utility poles and buildings accounts for about 35%; in fatal accidents, this proportion is even higher. [0003] Secondly, helicopters often need to fly close to the ground when performing tasks, so they are easy to collide with high-voltage lines at low altit...

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Problems solved by technology

[0007] Chinese Patent Publication No. CN101806888B, published on September 5, 2012, records a "high voltage line identification method based on image processing". Therefore, the priori search method is used to obtain the distribution area of ​​the power line. The advantage of this method is that it has lower requirements on the resolution of the radar, can detect targets at a longer distance, and has a small amount of calculation, but this method can only detect the distribution of high-voltage lines. The specific location of the high-voltage line cannot be displayed, so the flight guidance cannot be given directly

[0008] Chinese Patent Publication No. CN102930280A, published on February 13, 2013, records a "method for automatic identification of overhead high-voltage lines from infrared images", the core idea of ​​which is to find high-voltage lines by extracting multiple features of images and use random Hough transform The (RHT) method realizes the detection of high-voltage line pixels. The advantage of this method is that it detects high-voltage lines through multiple means, which improves the accuracy of identification, but at the same time, this method cannot avoid the disadvantages of too many parameters and a large amount of calculation.

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