Feature visualization plays an important role in visualization of complicated flows because it can highlight the feature of the flows with a simplified representation. Traditional feature visualization methods usually employ the semi-automatic technique. The user’s interactive requirements can hardly to be met due to the weakness for integrating the user’s knowledge and experience. Because of the difficulties with extracting the strict confines of a feature

this paper presents an interactive fuzzy feature extraction algorithm

and has realized interactive extraction and visualization of the flow features. Firstly

construct a model describing the flow features based on the fuzzy theory. Secondly

we implement the algorithm based on the syntax standard. We have developed a visualization system based on the presented interactive fuzzy feature extraction method. The experimental results show that our method can not only make full use of the knowledge and experience of the user to extract the features of the data and the objects on demand but also reflect the uncertainty nature of the data.