The linear sampling method for the acceleration of the level set algorithm

The robust shape reconstruction level set algorithm has proven its capability for reconstructing the exact shape and location of unknown 2D and 3D targets. However, the computational time of the level set algorithm can be extensive especially for complex multi-scale targets. In order to eliminate this burden, the qualitative Linear Sampling Method (LSM) is investigated to generate the initial guess for the level set algorithm. In this case, the obtained results show a reduction of almost 90% of the CPU time required by the level set algorithm.