Abstract <p>In flow visualization, dense streamlines may interfere with the user’s view of the data. When the user interacts with the streamlines for deformation, the occlusion of the streamlines often prevents the precise setting of the depth of the deformation area. To mitigate this issue, this paper proposes an enhanced method building upon the existing Focus+Context streamline deformation approach. Initially, the streamlines are divided into several subregions, and the information entropy of each subregion is used as the evaluation. During streamline deformation, a probe is positioned at the center of the deformation area and moves within the streamlines. Through iterative comparison of the entropy in the probe’s vicinity, calculating an appropriate deformation depth value for the current deformation area, thus preventing erroneous depth setting due to misjudgment. To validate effectiveness, this paper conducts a case study using several 3D streamline datasets, comparing it with manually set deformation depth method. Results demonstrate that our method enhances user interaction accuracy while accurately revealing regions of interest.</p> Graphical abstract <p></p>