title: [The computer image processing and cluster analysis on Fructus Cnidii from different habitats].
abstract: OBJECTIVE
  To study the variation of shape of Fructus Cnidii from different habitats.
  
  
  METHODS
  The methods of computer image processing and cluster analysis were adopted.
  
  
  RESULTS
  The shape of Fructus Cnidii from different habitats varied significantly.
  
  
  CONCLUSIONS
  According to the results of computer image processing and cluster analysis, Fructus Cnidii can be classified into three types.
authors.affiliation: College of Pharmacy, Second Military Medical University, Shanghai 200433.
authors.forename: Qiaoyan
authors.initials: Q
authors.lastname: Zhang
authors.forename: Luping
authors.initials: L
authors.lastname: Qin
authors.forename: Hanchen
authors.initials: H
authors.lastname: Zheng
authors.forename: Baokang
authors.initials: B
authors.lastname: Huang
authors.forename: Yao
authors.initials: Y
authors.lastname: Chen
mesh_terms: D002681:China; D016000:Cluster Analysis; D031048:Cnidium / Q000033:anatomy & histology* / Q000145:classification; D017753:Ecosystem; D005638:Fruit / Q000033:anatomy & histology; D007091:Image Processing, Computer-Assisted; D010946:Plants, Medicinal / Q000033:anatomy & histology* / Q000145:classification