Method and device for detecting insulator image based on insulator image detection model

Abstract

The embodiment of the invention provides a method and device for detecting an insulator image based on an insulator image detection model. The method comprises the steps of acquiring a target insulator image is acquired; performing feature extraction on the target insulator image through a first preset convolution layer to obtain a first feature map; performing spatial transformation on the firstfeature map to obtain a second feature map; performing feature extraction on the target insulator image to obtain a third feature map; processing the second feature map and the third feature map to obtain a fourth feature map; inputting the fourth feature map into a region candidate network, and outputting a fifth feature map; inputting the fourth feature map into a classifier, and outputting theinsulator type in the fourth feature map; according to the embodiment of the invention, the insulator of the insulator image can be accurately detected based on the improved feature extraction network, and the problem that the existing rich feature hierarchical structure FaterRCNN for accurate object positioning and semantic segmentation is low in insulator image detection accuracy is solved.

Description

technical field [0001] The present application belongs to the field of computer vision and image processing, and in particular relates to a method and device for detecting an insulator image based on an insulator image detection model. Background technique [0002] Currently, detection of insulator targets in insulator images is crucial in fault diagnosis of insulators in transmission lines. In the process of diagnosing insulator faults, only by accurately identifying and locating the insulator targets in the image can the cause of the fault be analyzed. [0003] At present, the fault diagnosis of insulators is mainly to analyze the insulator targets in the insulator images of UAV aerial inspection. However, in transmission lines, there are many types of insulators, including insulators of different materials, shapes and colors. In addition, the image background of insulators in aerial inspections is complex, and the image differences are large, which makes it difficult to...

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Problems solved by technology

[0005] The embodiment of the present application provides a method and device for detecting insulator images based on an insulator image detection model, which can more accurately detect insulators in insulator images based on an improved feature extraction network, and solves the problem of the existing Faster-RCNN on the accuracy of insulator image detection lower question

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