Automatic cell object extraction of red tide algae in microscopic images
作者: Kun YuGuangrong JiHaiyong Zheng
作者单位: 1College of Information Science and Engineering, Ocean University of China
刊名: Chinese Journal of Oceanology and Limnology, 2017, Vol.35 (2), pp.275-293
来源数据库: Springer Nature Journal
DOI: 10.1007/s00343-016-5324-6
关键词: non-setae algaeChaetoceroscell extractionborder-correlationnon-interactive GrabCut
原始语种摘要: Abstract(#br)Extracting the cell objects of red tide algae is the most important step in the construction of an automatic microscopic image recognition system for harmful algal blooms. This paper describes a set of composite methods for the automatic segmentation of cells of red tide algae from microscopic images. Depending on the existence of setae, we classify the common marine red tide algae into non-setae algae species and Chaetoceros , and design segmentation strategies for these two categories according to their morphological characteristics. In view of the varied forms and fuzzy edges of non-setae algae, we propose a new multi-scale detection algorithm for algal cell regions based on border- correlation, and further combine this with morphological operations and an improved GrabCut...
全文获取路径: Springer Nature  (合作)
影响因子:0.577 (2012)

  • extraction 提取
  • microscopic 微观的
  • algae 藻类
  • object 目标