Adaptively Active Contours Based on Variable ExponentLp(|∇I|)Norm for Image Segmentation
Wenying Wen, Chuanjiang He, Meng Li, Yi Zhan · Mathematical Problems in Engineering · 2012
We propose anLp(|∇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 theLp(|∇I|) (p(|∇I|) > 2) norm instead of theL2norm to define the external energy and incorporates an extra internal energy into the overall energy. Due to the variable exponentp(|∇I|) which could fit the image gradient information adaptively, the proposedLp(|∇I|)‐based model has the hope of segmenting those images with low contrast and blurred boundaries. Experimental results show that the proposed model withp(|∇I|) > 2 really can effectively and quickly segment those images with low contrast and blurred boundaries.