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Chinese Physics, 2003, Vol. 12(6): 610-614    DOI: 10.1088/1009-1963/12/6/307
CLASSICAL AREAS OF PHENOMENOLOGY Prev   Next  

Cell image recognition with radial harmonic Fourier moments

Ren Hai-Ping (任海萍)a, Ping Zi-Liang (平子良)b, Bo Wu-Ri-Gen (博午日亘)c, Sheng Yun-Long (盛云龙)d, Chen Sheng-Zu (陈盛祖)a, Wu Wen-Kai (吴文凯)a
a Department of Nuclear Medicine, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China; b Department of Physics, Inner Mongolia Normal University, Huhhot 010022, China; c Mathematics Institute, Peking University, Beijing 100871, China; d Department of Physics, Laval University, Quebec, GIK 7P4, Canada
Abstract  Various types of moments have been utilized to recognize image patterns in a number of applications. Multi-distortion invariant-radial harmonic Fourier moments were investigated in the recognition of cell smear images. Image recognition experiments showed that radial harmonic Fourier moments are not only highly concentrated image features but also have a good property of antidistortion and antinoise. They may be used in fast and accurate automatic cell recognition.
Keywords:  cell recognition      moment invariant  
Received:  18 November 2002      Revised:  18 February 2003      Accepted manuscript online: 
PACS:  42.30.Kq (Fourier optics)  
  42.30.Sy (Pattern recognition)  
  87.17.-d (Cell processes)  
Fund: Project supported by the National Natural Science Foundation (Grant No 60262001) and by the Inner Mongolia Natural Science Foundation, China (Grant No 201301).

Cite this article: 

Ren Hai-Ping (任海萍), Ping Zi-Liang (平子良), Bo Wu-Ri-Gen (博午日亘), Sheng Yun-Long (盛云龙), Chen Sheng-Zu (陈盛祖), Wu Wen-Kai (吴文凯) Cell image recognition with radial harmonic Fourier moments 2003 Chinese Physics 12 610

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