Voronoï region-based adaptive unsupervised color image segmentation
作者：
Highlights：
• We propose a hybrid of Dirichlet tessellation to automatically segment an image.
• Spatial Dirichlet tessellation adaptively divides an image into Voronoï regions.
• Feature space Dirichlet tessellation adaptively clusters pixels in Voronoï regions.
• Inter-Voronoi region proximal cluster merging automatically finds the final clusters.
摘要
Highlights•We propose a hybrid of Dirichlet tessellation to automatically segment an image.•Spatial Dirichlet tessellation adaptively divides an image into Voronoï regions.•Feature space Dirichlet tessellation adaptively clusters pixels in Voronoï regions.•Inter-Voronoi region proximal cluster merging automatically finds the final clusters.
论文关键词：Voronoï regions,Adaptive unsupervised clustering,Cluster proximity,Image segmentation
论文评审过程：Received 2 April 2016, Revised 22 November 2016, Accepted 12 December 2016, Available online 18 December 2016, Version of Record 27 December 2016.
论文官网地址：https://doi.org/10.1016/j.patcog.2016.12.011
