The National Natural Science Foundation of China(No60271033)
A new active shape models (ASMs) was presented, which is driven by scale invariant feature transform (SIFT) local descriptor instead of normalizing first order derivative profiles in the original formulation, to segme...
Sponsored by Shanghai Leading Academic Discipline Project(Grant No T0603);the National Natural Science Foundation of China (Grant No60271033)
A two-stage method for image segmentation based on edge and region information is proposed. Different deformation schemes are used at two stages for segmenting the object correctly in image plane. At the first stage, ...
supported by the National Natural Science Foundation of China(Nos.60271016 and 60271033)
A macro-cell was used to study the phenomenon of anode striation on a 34 VGA Shadow Mask Plasma Display Panel (SMPDP). The breakdown process in the sustaining period of the macro-cell was taken by an Intensified Cha...
National Natural Science Foundation of China(No.60271033)
A learning-based deformable registration method was presented for MR brain images. First, best geometric features are selected for each location and each resolution, in order to reduce ambiguity in matching during ima...
National Natural Science Foundation ofChina (No.60271033)
A hierarchical non-linear method for image registration was presented, which integrates image segmentation and registration under a variational framework. An improved deformable model is used to simultaneously segment...