The Distance Regularized Level Set Evolution (DRLSE) model is sensitive to initial contour and weak boundary images.Meanwhile

it is easy to leak from the weak edges and the curve sometimes converges slowly.To these issues

an improved level set evolution method is proposed in the paper

which combines target gray level statistical information with image gradient information.The boundary stopping function in the model of DRLSE is replaced by a target information function based on image information.And the constant coefficient associated with the weighted area was modified as an adaptive variable sign coefficient to deal with slow convergence and weak edge leakage.Experiments show that this method is free of initial contour.Besides

it reduces the time of image segmentation and improves the quality of segmentation.