Fuzzy c-means clustering based active contour model driven by edge scaled region information

作者：

Highlights：

• Edge scaled method with region based statistical information is proposed.

• Global and local terms fused with compacted geodesic edge term in additive fashion.

• Proposed method is automated by FCM (fuzzy-c-means) clustering.

• The experimental analysis is performed on synthetic and real inhomogeneous images.

摘要

•Edge scaled method with region based statistical information is proposed.•Global and local terms fused with compacted geodesic edge term in additive fashion.•Proposed method is automated by FCM (fuzzy-c-means) clustering.•The experimental analysis is performed on synthetic and real inhomogeneous images.

论文关键词：Image segmentation,Active contour,Level set

论文评审过程：Received 22 February 2018, Revised 24 October 2018, Accepted 31 October 2018, Available online 24 November 2018, Version of Record 6 December 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.10.052