46 Papers
128 Citations
Da Chen is an academic researcher from Qilu University of Technology. The author has contributed to research in topics: Geodesic & Fast marching method. The author has an hindex of 11, co-authored 41 publications. Previous affiliations of Da Chen include PSL Research University & Paris Dauphine University.
Chat about Author
Papers
Global Minimum for a Finsler Elastica Minimal Path Approach
TL;DR: This paper proposes a novel curvature penalized minimal path model via an orientation-lifted Finsler metric and the Euler elastica curve that embeds a curvature penalty and introduces two anisotropic image data-driven speed functions that are computed by steerable filters.
Global Minimum for a Finsler Elastica Minimal Path Approach
TL;DR: In this paper, a curvature-penalized minimal path model via an orientation-lifted Finsler metric and the Euler elastica curve is proposed to solve the curvature penalty problem.
48
Minimal Paths for Tubular Structure Segmentation With Coherence Penalty and Adaptive Anisotropy
TL;DR: In this article, the authors proposed a new minimal path model associated with a dynamic Riemannian metric embedded with an appearance feature coherence penalty and an adaptive anisotropy enhancement term.
22
Fast Asymmetric Fronts Propagation for Image Segmentation
Da Chen,Laurent D. Cohen +1 more
TL;DR: In this article, a generalized asymmetric fronts propagation model based on the geodesic distance maps and the Eikonal partial differential equations is proposed to prevent the fronts leaking problem during the fronts propagation.
18
A Generalized Asymmetric Dual-front Model for Active Contours and Image Segmentation
TL;DR: This paper introduces a new dual-front model based on asymmetric quadratic metrics that can be applied for image segmentation in conjunction with various region-based homogeneity terms and achieves encouraging results.
17