An insulator hydrophobic image segmentation device and method

Abstract

An insulator hydrophobic image segmentation device and method includes such step as equalizing local histogram of hydrophobic image by homomorphic filter; then the local contrast of the hydrophobic image is enhanced. Finally, the target region and background region of the hydrophobic image are used as the objective function to maximize the variance between classes, and the bat algorithm is used asthe threshold optimization algorithm for the adaptive threshold selection of the hydrophobic image segmentation, to achieve the hydrophobic image segmentation of insulators; an insulator hydrophobicimage segmentation device comprises a single chip microcomputer module, a head shaking steering engine, a head nodding steering engine, a DC water pump, an nRF24L01 wireless module and a power management module. The technical method and the device of the invention can better distinguish the background area and the water droplet area of the insulator, and provide a good basis for the classificationof the hydrophobic grade of the insulator.

Description

technical field [0001] The invention relates to an image automatic recognition technology for computer image filtering, enhancement and segmentation, in particular to an insulator hydrophobic image segmentation device and method. Background technique [0002] At present, there are three main methods for testing the hydrophobicity of insulators: water spray classification method, static contact angle method and hydrophobicity indicator function method. Among them, the first and second are traditional detection methods, which are only applicable in the laboratory. The hydrophobicity indicator function method has developed rapidly in recent years, which uses camera technology and digital image processing technology to determine the level of hydrophobicity of insulators. It can be subdivided into a variety of methods, typical entropy method and shape factor method. Because it overcomes the shortcomings of traditional detection methods, such as complex measurement process, limi...

AI Technical Summary

Problems solved by technology

The background image of the surface of the composite insulator is relatively complex, and the transparency of the water droplets leads to a relatively small gray value difference between the background and the target, and the reflection of water on the light will cause the edge on the light side to be very blurred, which leads to the traditional digital The application effect of filtering technology and image segmentation technology is not good

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