Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Region Tracking via Level Set PDEs without Motion Computation
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Image Processing
Lip image segmentation using fuzzy clustering incorporating an elliptic shape function
IEEE Transactions on Image Processing
Accurate and quasi-automatic lip tracking
IEEE Transactions on Circuits and Systems for Video Technology
Hi-index | 0.00 |
In this work, a novel method for lip contour extraction based on level set curve evolution is presented. This method takes not only color information but also lip contour shape constraint represented by a distance function between the evolving curve and parametric shape model. In this method, the curve is evolved by minimizing an energy function that incorporates shape constraint function as internal energy, while previous curve evolution methods use a simple smoothing function. The new shape constraint function prevents the curve from evolving to arbitrary shapes occurred due to weak color contrast between lip and skin regions. Comparisons with other method are conducted to evaluate the proposed method. It showed that the proposed method provides more accurate results than other methods.