A semi-automatic method for robust and efficient identification of neighboring muscle cells

作者：

Highlights：

• We evolve the threshold selection method.

• We decompose the histogram distribution into different layers by Fourier transform.

• We select the optimal threshold based on the practical needs.

• We evolve the ultimate erosion theorem to achieve high accuracy.

摘要

•We evolve the threshold selection method.•We decompose the histogram distribution into different layers by Fourier transform.•We select the optimal threshold based on the practical needs.•We evolve the ultimate erosion theorem to achieve high accuracy.

论文关键词：Segmentation,Threshold selection,Morphological erosion,Morphological dilation,Muscle cell/fiber

论文评审过程：Received 18 May 2015, Revised 17 November 2015, Accepted 16 December 2015, Available online 25 December 2015, Version of Record 8 February 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.12.009