A new evaluation measure for color image segmentation based on genetic programming approach

作者：

Highlights：

• A genetic programming (GP) approach is proposed to design a combined evaluation measure for image segmentation algorithms.

• The proposed approach improved the performance of image segmentation evaluation.

• A new fitness evaluation scheme is proposed for GP.

• A new evaluation measure based on intra-region similarity and inter-region disparity is proposed in this paper.

摘要

•A genetic programming (GP) approach is proposed to design a combined evaluation measure for image segmentation algorithms.•The proposed approach improved the performance of image segmentation evaluation.•A new fitness evaluation scheme is proposed for GP.•A new evaluation measure based on intra-region similarity and inter-region disparity is proposed in this paper.

论文关键词：Image segmentation,Evaluation measure,Genetic programming,Intra-region,Inter-region,Over-segmentation

论文评审过程：Received 29 June 2012, Revised 14 June 2013, Accepted 12 August 2013, Available online 19 August 2013.

论文官网地址：https://doi.org/10.1016/j.imavis.2013.08.002