Image Generation and Its Application Research for Industrial Process:A Survey
In computer vision research for industrial process,the practical implementation of intelligent perception models is contingent upon their capacity for adapting to complex environments.As a result of issues such as non-uniform distribution,inadequate diversity,and significant interference within available image datasets,generating a training set that meets the multi-condition distribution is pivotal to enhance model performance.In order to ad-dress these issues,with the municipal solid wastes incineration(MSWI)process as background,this article focuses on current research on image generation and its application for industrial process,providing support for perceptual modeling for industrial images.Firstly,the definition and process of image generation for industrial process are sum-marized,as well as their application requirements in industrial process.Subsequently,the image generation al-gorithms with potential application value in the industrial domain are analyzed.Then,an overview is provided from the perspectives of industrial process image generation,generated image evaluation and application.Next,the fu-ture research direction is discussed and analyzed.Finally,we summarize the article and provide future challenges.