An active contour model based on local fitted images for image segmentation

摘要

Highlights ? A novel local fitted image is proposed to approximate the square of the original image based on the LBF and LIF models. ? A novel active contour model is proposed by constructing a local hybrid image fitting energy. ? Segmentation results demonstrate that our model is better than several typical models in terms of accuracy and computational effectiveness. Abstract Active contour models are popular and widely used for a variety of image segmentation applications with promising accuracy, but they may suffer from limited segmentation performances due to the presence of intensity inhomogeneity. To overcome this drawback, a novel