Adaptively Active Contours Based on Variable Exponent Lp(|del I|) Norm for Image Segmentation

作者：Wen Wenying^*; He Chuanjiang; Li Meng; Zhan Yi

来源：Mathematical Problems in Engineering, 2012, 490879.

DOI：10.1155/2012/490879

We propose an L-p(| del I|)-based adaptively active contours model for image segmentation which is derived from the well-known Chan-Vese (C-V) model. Unlike the C-V model, the proposed model uses the L-p(|del I|) (p(|del I|) > 2) norm instead of the L-2 norm to define the external energy and incorporates an extra internal energy into the overall energy. Due to the variable exponent p(|del I|) which could fit the image gradient information adaptively, the proposed L-p(|del I|)-based model has the hope of segmenting those images with low contrast and blurred boundaries. Experimental results show that the proposed model with p(|del I|) > 2 really can effectively and quickly segment those images with low contrast and blurred boundaries.

• 出版日期2012
• 单位重庆大学