Robust noise region-based active contour model via local similarity factor for image segmentation
作者：
Highlights：
• A local similarity factor was proposed to preserve noise robustness.
• The algorithm was adapted to eliminate the necessity of pre-processing steps.
• Experimental show that the algorithm provide more accurate segmentation results.
摘要
•A local similarity factor was proposed to preserve noise robustness.•The algorithm was adapted to eliminate the necessity of pre-processing steps.•Experimental show that the algorithm provide more accurate segmentation results.
论文关键词：Local similarity factor,Region-based active contour,Local spatial distance,Local intensity difference,Image segmentation
论文评审过程：Received 20 September 2015, Revised 11 July 2016, Accepted 12 July 2016, Available online 14 July 2016, Version of Record 4 August 2016.
论文官网地址：https://doi.org/10.1016/j.patcog.2016.07.022
