Lung Cancer Cells' Recognition Based on Attribute Theory
Jingying Bi · Journal of Guangxi Normal University · 2011
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 mage processing.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 application value in pattern recognition field.