A variational model with hybrid images data fitting energies for segmentation of images with intensity inhomogeneity
作者：
Highlights：
• We model image segmentation problem using product and difference images.
• The convex formulation of the model is also presented.
• The proposed model takes care of the minute details and inhomogeneity in an image.
• This model is compared with LCV and FGM of the active contour model.
• The competing energies are qualitatively tested by using Jaccord Similarity Index.
摘要
Highlights•We model image segmentation problem using product and difference images.•The convex formulation of the model is also presented.•The proposed model takes care of the minute details and inhomogeneity in an image.•This model is compared with LCV and FGM of the active contour model.•The competing energies are qualitatively tested by using Jaccord Similarity Index.
论文关键词：Image segmentation,Calculus of variations,Level set method,Partial differential equations,Edges,Objects
论文评审过程：Received 1 May 2014, Revised 10 July 2015, Accepted 19 August 2015, Available online 5 September 2015, Version of Record 27 November 2015.
论文官网地址：https://doi.org/10.1016/j.patcog.2015.08.022
