A new improved local Chan-Vese model
Ming Shen, Yiping Wu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2015
Based on the local image information, we propose a new improved local active contour model to segment inhomogeneous images. The level set evolution equation of the proposed model which is different from improved Chan- Vese (ICV) model and local Chan-Vese (LCV) model is ordinary differential equation. Without mean curvature and other complicate difference items, the implementation becomes simpler by employing a finite difference scheme, thus the efficiency of global segmentation is dramatically improved. Experimental results on synthetic images as well as real medical images are shown in the paper to demonstrate the segmentation accuracy, efficiency and robustness of the proposed method.