A generic approach for cell segmentation based on Gabor filtering and area-constrained ultimate erosion

作者：

Highlights：

• We propose a robust approach to segment and identify various types of cells robustly.

• We utilize the gradients of cells instead of intensity for cell segmentation.

• We utilize the Gabor filter to enhance the gradients.

• We propose an area-constrained ultimate erosion method to separate the connected cells robustly.

摘要

•We propose a robust approach to segment and identify various types of cells robustly.•We utilize the gradients of cells instead of intensity for cell segmentation.•We utilize the Gabor filter to enhance the gradients.•We propose an area-constrained ultimate erosion method to separate the connected cells robustly.

论文关键词：Cell segmentation,Gradient detection,Gabor filter,Threshold selection,Area constrained ultimate erosion

论文评审过程：Received 12 February 2020, Revised 10 May 2020, Accepted 6 July 2020, Available online 7 July 2020, Version of Record 29 July 2020.

论文官网地址：https://doi.org/10.1016/j.artmed.2020.101929