Boundary reconstruction in binary images using splines
作者：
Highlights：
• We present a new method for boundary reconstruction in noisy images using B-spline curves.
• The method is Bayesian and uses oriented distance functions for inference.
• The resulting estimator can be interpreted as a posterior expected boundary.
• We study the performance of the method on simulated data.
• We apply the method to reconstruct the skin-air boundary in mammogram images.
摘要
Highlights•We present a new method for boundary reconstruction in noisy images using B-spline curves.•The method is Bayesian and uses oriented distance functions for inference.•The resulting estimator can be interpreted as a posterior expected boundary.•We study the performance of the method on simulated data.•We apply the method to reconstruct the skin-air boundary in mammogram images.
论文关键词：Shape estimation,Boundary reconstruction,B-splines,Mammography,Oriented distance functions,Set inference
论文评审过程：Received 29 June 2012, Revised 1 March 2013, Accepted 16 July 2013, Available online 26 July 2013.
论文官网地址：https://doi.org/10.1016/j.patcog.2013.07.007
