A neutrosophic-entropy based adaptive thresholding segmentation algorithm: A special application in MR images of Parkinson's disease

作者：

Highlights：

• This article presents neutrosophic set theory based segmentation method.

• The method is adaptive by nature.

• The method can segment regions of MR images successfully.

• Application is shown in MR images of Parkinson's disease.

• The method exhibits high accuracy rate.

摘要

•This article presents neutrosophic set theory based segmentation method.•The method is adaptive by nature.•The method can segment regions of MR images successfully.•Application is shown in MR images of Parkinson's disease.•The method exhibits high accuracy rate.

论文关键词：Neutrosophic set (NS) theory,Neutrosophic entropy information (NEI),Parkinson's disease (PD),Image segmentation,Magnetic resonance (MR) images

论文评审过程：Received 27 September 2019, Revised 24 February 2020, Accepted 24 February 2020, Available online 28 February 2020, Version of Record 4 March 2020.

论文官网地址：https://doi.org/10.1016/j.artmed.2020.101838