Visualization of Vector Field using Line Integral Convolution based on Visual Perception

In the field of flow visualization, the optimization of algorithms and the improvement of visual effects have always been the focus of researchers, in recent years many research and improvement algorithms for evaluating visualization quality have been proposed. However, in the process of algorithm implementation and quality evaluation, ambiguity of flow field direction and unclear description of vector field direction and size are often encountered, in order to solve this problem, an attempt is made to apply the theory of human visual perception to the evaluation of visualization results and the improvement of visualization effects, and on the basis of research by simulation of cyclone data, the two-dimensional line integral convolution algorithm for vector field visualization is studied.