By using the local regional information which has the ability to enhance the image

a new SPF function has been defined. The edge stopping function in the GAC model is replaced by the SPF function

and a new region-based active contour model is put forward by improving the GAC model. Therefore

images with intensity inhomogeneities and weak boundaries can be processed. The Selective Binary and Gaussian Filtering Level Set (SBGFRLS) method is continuously used in the new model which is simplified by avoiding the process of reinitializing the level set function. Experiments on real and synthetic images indicate that the new model has the same segmentation results as the LBF model

while the computational efficiencies improve significantly. The new model not only can segment images with intensity inhomogeneities and weak boundaries

but also has the properties such as sub-pixel accuracy

anti-noise nature

selective local or global segmentation

etc.