Image segmentation by combining the global and local properties

作者：

Highlights：

• We calculate the means of different pixel classes from slope difference distribution.

• The image is segmented by clustering the pixels to its nearest mean.

• The segmentation is further refined by minimizing the energy of its Gibbs distribution.

• The boundary of the refined segmentation is deformed to the nearest detected canny edges.

摘要

•We calculate the means of different pixel classes from slope difference distribution.•The image is segmented by clustering the pixels to its nearest mean.•The segmentation is further refined by minimizing the energy of its Gibbs distribution.•The boundary of the refined segmentation is deformed to the nearest detected canny edges.

论文关键词：Segmentation,Histogram,Gibbs distribution,Slope difference distribution

论文评审过程：Received 8 March 2017, Revised 5 June 2017, Accepted 6 June 2017, Available online 7 June 2017, Version of Record 17 July 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.06.008