Pattern Recognition Letters
Medical Image Segmentation Based on the Bayesian Level Set Method
Medical Imaging and Informatics
Semiautomatic segmentation with compact shape prior
Image and Vision Computing
A level set method based on the Bayesian risk for medical image segmentation
Pattern Recognition
Polarimetric SAR image object segmentation via level set with stationary global minimum
EURASIP Journal on Advances in Signal Processing - Special issue on advances in multidimensional synthetic aperture radar signal processing
Environmentally robust motion detection for video surveillance
IEEE Transactions on Image Processing
Maritime surveillance: Tracking ships inside a dynamic background using a fast level-set
Expert Systems with Applications: An International Journal
Original article: The Lee-Seo model with regularization term for bimodal image segmentation
Mathematics and Computers in Simulation
Unsupervised 2D gel electrophoresis image segmentation based on active contours
Pattern Recognition
Bimodal texture segmentation with the Lee-Seo model
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
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In this paper, we propose a new level set-based partial differential equation (PDE) for the purpose of bimodal segmentation. The PDE is derived from an energy functional which is a modified version of the fitting term of the Chan-Vese model . The energy functional is designed to obtain a stationary global minimum, i.e., the level set function which evolves by the Euler-Lagrange equation of the energy functional has a unique convergence state. The existence of a global minimum makes the algorithm invariant to the initialization of the level set function, whereas the existence of a convergence state makes it possible to set a termination criterion on the algorithm. Furthermore, since the level set function converges to one of the two fixed values which are determined by the amount of the shifting of the Heaviside functions, an initialization of the level set function close to those values can result in a fast convergence