DocumentCode :
2113071
Title :
Multi-level Classifier Design for Tumor Micro-image Based on Multi-feature Fusion
Author :
Lan, Gan ; Xiu-ming, Meng
Author_Institution :
Dept. of Inf. of Eng., East China Jiaotong Univ., Nanchang
fYear :
2008
fDate :
18-18 Dec. 2008
Firstpage :
60
Lastpage :
63
Abstract :
In this paper, we propose a computer aided recognition system. With a series of approaches of image pre-processing and segmentation, extract the whole image feature namely global features, such as the number of cell, also extract the single cell feature namely local features, for example cell area and so on. Then separately do the multi-feature fusion for global feature and local feature. We construct two level of classifier, the first level is global classifier based on the most-short distance which is designed according to the global features; the second level is local classifier based on decision tree which is designed according to the local features design. Firstly according to global classifier to judge whether the stomach epidermis is normal or not, if the image is recognized to be abnormal, the classification ends. Otherwise, we recognize the image by the local classifier once again. After two level of recognitions, The experiment result indicates that this classifier can enormously enhance the classification accuracy rate.
Keywords :
cellular biophysics; decision trees; feature extraction; image classification; image fusion; image segmentation; medical image processing; object recognition; tumours; cell feature extraction; computer aided recognition system; decision tree; image pre-processing; image segmentation; multifeature fusion; multilevel classifier design; stomach epidermis; tumor micro-image; Biomedical engineering; Biomedical imaging; Classification tree analysis; Data mining; Design engineering; Feature extraction; Image recognition; Image segmentation; Medical diagnostic imaging; Neoplasms; feature extraction; global recognition; local recognition; multi-feature fusion; multi-level of classifier;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future BioMedical Information Engineering, 2008. FBIE '08. International Seminar on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3561-6
Type :
conf
DOI :
10.1109/FBIE.2008.54
Filename :
5076685
Link To Document :
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