A Two-stage Image Segmentation Algorithm Combined Top-hat Transformation with Level Set Method
Jian Hua Gong · Clinical Medicine & Engineering · 2010
Traditional level set method is a very popular image segmentation algorithm for its highly flexibility.However,it is un able to handle images with uneven background which is a very common phenomenon existed among the natural optical and medical images.Meanwhile the morphological top-hat transform is very effective for estimating the uneven background.Thus we propose a two-stage algo rithm for image segmentation by combining top-hat transformation and level set method in this paper to remedy the drawback for the level set method to the uneven background.And the experimental results show that our proposed algorithm works perfectly to segment the images with uneven background.