Segmentation of Terahertz imaging using k-means clustering based on ranked set sampling
作者：
Highlights：
• A novel approach of segmentation of Terahertz images is proposed.
• We explain how to reformulate the k-means technique under the ranked set sample.
• The goal of the approach is to estimate good centers and classify the data.
• We compare our approach to k-means based on simple random sampling technique.
摘要
•A novel approach of segmentation of Terahertz images is proposed.•We explain how to reformulate the k-means technique under the ranked set sample.•The goal of the approach is to estimate good centers and classify the data.•We compare our approach to k-means based on simple random sampling technique.
论文关键词：Segmentation,Terahertz imaging,k-means,Ranked set sampling,Simple random sampling
论文评审过程：Available online 29 November 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.11.050
