An aerial-photo insulator chain automatic positioning method based on binary image shape features

Abstract

The invention discloses an insulator chain automatic positioning method based on binary image shape features and belongs to the field of image processing techniques and power transmission and transformation equipment running state maintenance. The method comprises the following specific steps: 1) performing morphological filtering and micro-region removing processing on a binary image; 2) performing digitalization description on three shape features of an insulator chain, and processing the image based on the above to remove the regions not satisfied with the three shape features and keep the regions satisfied with the three shape features; and 3) utilizing a minimum bounding rectangle to mark the regions satisfied with the shape features of the insulator chain and thus positioning is achieved. The problem that the positioning of the insulator chain in a complicated-background aerial image is difficult is solved by fully utilizing the shape features of the insulator chain and by adopting the method based on binary image shape feature description. The method is practicable and feasible; better positioning effect is achieved; time needed is short; no labour is needed; and the method provides a certain reference meaning for scheme design of related problems.

Description

Technical field [0001] The invention belongs to the field of image processing technology and operation state maintenance of power transmission and transformation equipment, and particularly relates to an automatic positioning method for insulator strings based on binary image shape characteristics. Background technique [0002] Locating the target of interest in an image is a key technology in image processing, computer vision and other fields. Its purpose is to extract the location information of some important targets in the image, so as to lay the foundation for the target recognition and subsequent processing. The automatic positioning of aerial insulator strings is an important prerequisite for realizing insulator condition monitoring and fault diagnosis, and has great practical significance. [0003] There are generally three types of existing positioning methods: (1) Based on segmentation, the original image is divided into multiple regions and the region of interest is mark...

AI Technical Summary

Problems solved by technology

[0003] There are generally three types of existing positioning methods: (1) segmentation-based methods, which divide the original image into multiple regions and mark the regions of interest; the problem with this method is that it is necessary to manually set the gray level of the target, And the positioning accuracy is low, it is difficult to apply to automatic monitoring

(2) The method based on edge detection finds the outline of the target of interest and realizes positioning; the problem of this method is that it is sensitive to noise, and the accuracy of aerial images with complex background, low resolution and high noise is low, and The running speed is slow due to the complex background, many edge changes, etc.

(3) Texture-based method, which analyzes the texture features of the target of interest, and extracts the target position based on this criterion; the biggest problem with this method is that it takes a lot of time to extract texture information, and for some texture features related to insulator strings Similar false targets are indistinguishable

[0004] Existing methods do not consider the unique shape features of insulator strings in the segmented binary image

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