DocumentCode :
2002046
Title :
Automatic colon polyp detection in endoscopic capsule images
Author :
David, E. ; Boia, Raluca ; Malaescu, Alexandru ; Carnu, Mihai
Author_Institution :
Digital Opt. Corp., Bucharest, Romania
fYear :
2013
fDate :
11-12 July 2013
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents a method of automatic detection of colon polyps in endoscopic capsule images. This approach uses color and geometrical analysis of the images and uses histogram of gradients features and multilayer perceptron neural networks for performing the detection at multiple scales. The detection performance is tested using a database of 30540 images, 540 of them containing at least one polyp.
Keywords :
biomedical optical imaging; cancer; endoscopes; image colour analysis; medical image processing; automatic colon polyp detection; endoscopic capsule image; gradient feature; histogram; image color analysis; image database; image geometrical analysis; multilayer perceptron neural network; Cancer; Colon; Databases; Feature extraction; Histograms; Image color analysis; Image segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Circuits and Systems (ISSCS), 2013 International Symposium on
Conference_Location :
Iasi
Print_ISBN :
978-1-4799-3193-4
Type :
conf
DOI :
10.1109/ISSCS.2013.6651196
Filename :
6651196
Link To Document :
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