Journal of Guangxi Normal University(Natural Science Edition) ›› 2011, Vol. 29 ›› Issue (3): 183-186.

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Lung Cancer Cells' Recognition Based on Attribute Theory

FENG Jia-li, BI Jing-ying   

  1. College of Information Engineering,Shanghai Maritime University,Shanghai 200135,China
  • Received:2011-05-22 Online:2011-08-20 Published:2018-12-03

Abstract: The current image diagnosis system mainly uses morphological and colorimetric characteristics,combining the expert system,to analyze and diagnose cells of lung cancer.In order to gain high recognition rate of cells of lung cancer,features of cells of lung cancer's morphological and chromatics are extracted by using related knowledge of mageprocessing.Then,the system identifies the cells based on qualitative mapping and conversion degree function.Experimental result shows that the proposed method can achieve good results and also proved that the attribute theory still has applicationvalue in pattern recognition field.

Key words: morphology, color science, qualitative mapping, conversion degree function

CLC Number: 

  • TP391.7
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