Research on Improved of Level Set Image Segmentation Algorithms Based on LBF Model

摘要

For the images characteristic With intensity inhomogeneity, this paper proposes an improved model of contour evolution LBF energy function, Which combines the global CV model energy term accelerated evolution rate and the combined local mean LBF model information, While the introduction of a global image of the local variance and variance information. Experimental results show that this method can provide accurate smooth closed boundary, precision can reach sub-pixel level. The recognition accuracy rate is high.