Mathematical Image Analysis of Light Fused with Computer Fuzzy Algorithm

The fuzzy mathematics theory was born in 1965, and it takes uncertain things as the research object. In recent years, the research on fuzzy mathematics theory has been deepened again and again. Therefore, the theoretical research of fuzzy mathematics is widely used in aerospace, petrochemical, nuclear power and many other industries. At the same time, under the impetus of advanced computer science and technology, fuzzy mathematics theory is the most important in the field of computer application. Digital image processing technology is to use the computer's recognition and operation functions to carry out image processing, and fuzzy mathematical theory is also used in the process of image processing. In order to improve the accuracy and precision of image processing, it is a problem to be solved urgently to enhance digital images by using fuzzy operations. Under this background, this paper uses the quadratic element function to process the data, and realizes the mathematical analysis of the image under the complex background. However, conventional digital images cannot be used effectively for mathematical computer modeling. In the application process of optical recognition technology, how to balance the visible light image under various constraints is the key issue of applying computer fuzzy method to light analysis. For images with complex backgrounds, this paper adopts the flow mathematics method of different adjacent regions to solve traditional flow problems under complex backgrounds. On this basis, the VNM (Von Neumann and Morgenstern) function is used to reduce the noise of the image in the complex background, and the computer blur algorithm is used to maximize the light intensity and spatial distribution of the digital image. Finally, pixel-level fusion of digital images is realized.