Research on Fuzzy Enhancement Algorithms for Infrared Image Recognition Quality of Power Internet of Things Equipment Based on Membership Function

Abstract With the development of society, the demand for power is increasing, but the inefficiency of the original power grid has gradually become an obstacle to social development, so it is urgent to reform the power grid, and the power Internet of things is an important means of power reform. Effective infrared image recognition of power Internet of Things equipment can achieve real-time monitoring of equipment status. The quality of image recognition is not only related to recognition methods, but also to the quality of the image itself. In order to improve the quality of image recognition, an image enhancement algorithm based on membership function is proposed in this paper. Firstly, piecewise linear transformation is introduced, and on the basis of it, an improved piecewise linear transformation method is proposed. Secondly, an image enhancement algorithm based on membership function is proposed by improving the traditional fuzzy enhancement method. Finally, based on the image enhancement algorithm of membership function, an improved piecewise linear transformation method is introduced to form an image blur enhancement system. Through the simulation experiment, we can find that the two image enhancement algorithms are improved in this paper, which can enhance the image enhancement effect of the original two enhancement algorithms, and the image fuzzy enhancement system composed of two improved enhancement methods can enhance the image enhancement effect again, and effectively improve the infrared image recognition quality of power Internet of things equipment.