Power transmission line inspection foreground and background segmentation method based on multi-feature significance fusion

Abstract

The invention discloses a power transmission line inspection foreground and background segmentation method based on multi-feature saliency fusion. The method comprises an unmanned aerial vehicle image acquisition module, an airborne image transmission module and an information processing center module. The processing steps of the information processing center includes: firstly, dividing an image into different color intervals, clustering similar pixels by using a mean shift algorithm, and calculating a color saliency value; converting the image into a gray scale space, clustering similar pixels through a mean shift algorithm, and calculating a gradient significance value; calculating a texture contrast difference value between the pixel blocks, and solving a texture saliency value; weighting and fusing the multi-feature saliency value of each pixel block according to a center distance method to obtain a foreground segmentation result image; and finally, subtracting the foreground segmentation result image from the original image to obtain an image background so as to achieve foreground and background segmentation. Through the method, foreground and background segmentation in power transmission line inspection can be realized, and maintenance personnel can be helped to quickly identify various power accessories.

Description

technical field [0001] The invention relates to a foreground and background segmentation method of transmission line inspection based on multi-feature salience fusion, which belongs to the field of computer vision and transmission line inspection. [0002] technical background [0003] With the rapid development of the country's economy, the country's power system has developed rapidly, and the power transmission system has spread all over the country. However, various accessories of the power system will paralyze the entire power transmission system due to the impact of lightning strikes, icing and external damage, affecting people's normal life and bringing huge economic losses to the society. Therefore, it is very important to detect the failure of the power system in time. [0004] As we all know, the human visual attention mechanism means that when facing a scene, humans automatically select regions of interest, while selectively ignoring regions that are not of interes...

AI Technical Summary

Problems solved by technology

However, various accessories of the power system will cause the paralysis of the entire power transmission system due to the impact of lightning strikes, icing and external force damage, affecting people's normal life and bringing huge economic losses to the society.

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