The Positive Exertion of “Fuzzy Control” in Art Appreciation Class

In order to improve the teaching effect of art appreciation class and promote the development of students’ creative thinking, based on ASIFT (Affine Scale-Invariant Feature Transform) algorithm, this paper uses Nelder-Mead method as an optimization tool, introduces fuzzy control according to the characteristics of ASIFT sampling space to realize the self-adaptive adjustment of simplex parameters, and makes the sampling points converge towards the optimal matching direction. Moreover, this paper puts forward that in the process of art appreciation, it is necessary to combine fuzzy control method for image intelligent control, and resample the image by setting discrete sampling points to simulate the deformation caused by visual angle transformation. In addition, this paper gives a teaching model of art appreciation class combined with fuzzy control, demonstrates the display effect of fuzzy control art works through cases, and evaluates the teaching effect of this method combined with teaching evaluation. From the evaluation results, it can be seen that the fuzzy control method proposed in this paper can play an important role in art appreciation class.