Mutual inductor infrared image recognition method based on image textual features

Abstract

The invention provides a mutual inductor infrared image recognition method based on image textual features. The method includes the steps of conducting graying and denoising on an image, and conducting the X-direction Canny detection on the image, wherein the textural features of the left edge an the right edge of a sleeve are exposed after graying, denoising and detection are conducted; fitting left feature points into a straight line and fitting right feature points into a straight line after the methods of the normalized correlation coefficient maximum value matching and K-means clustering are conducted, and determining the highest edge points and the lowest edge points on the straight lines so as to determine the image area of a mutual inductor. By means of the method, the defect that a traditional image recognition method is not enough in accuracy is overcome, the background interference prevention capacity is high, the specific area of the mutual inductor in the infrared thermal image can be rapidly recognized, operating personnel are helped to detect the position coordinates of the mutual inductor, the automation degree of the state monitoring of a power system is improved, and the very high practical value is achieved.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition and computer vision, and in particular relates to an infrared image recognition method of a transformer based on image texture features. Background technique [0002] At present, some power companies have installed video surveillance systems in power plants and substations, which can monitor field equipment and control remote camera actions. However, these video surveillance systems only have video surveillance functions and do not have video image automatic recognition functions. In order to give full play to the functions of the video monitoring system and more accurately judge the cause of accident alarms on the scene, remote digital video monitoring and digital image recognition systems should be used to realize image recognition of equipment alarms, provide new means for accident detection, and provide new methods for accident detection. Analysis provides a reliable basis. [00...

AI Technical Summary

Problems solved by technology

However, due to background interference, the recognition accuracy is not high

For this reason, it is necessary to develop an infrared image recognition method for the extraction of transformer texture features to improve the accuracy and pertinence of recognition, but the existing literature either focuses on the overall recognition and classification of the image and cannot achieve accurate positioning of the target, or It focuses on the positioning of the target device, but the research on improving the recognition accuracy is relatively limited

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