Chan-Vese model with gray level transformation
Ye Yuan · Computer Engineering and Applications Journal · 2011
Power-law transformation and negative transformation are two basic types of gray level transformations that are used frequently for image enhancement.This paper incorporates the two transformations into the well-known Chan-Vese model to raise the performance of Chan-Vese model in terms of segmentation speed and quality.By practical experiments,it is verified that new Chan-Vese model has faster convergence than Chan-Vese model,and exhibits certain capability of handling straight edges and corners.