DocumentCode :
3381631
Title :
Segmentation and feature extraction to evaluate the stomach dynamic
Author :
Benjelloun, Mohammed
Author_Institution :
Faculte Polytechnique de Mons, Service Informatique, Mons, Belgium
fYear :
2005
fDate :
9-11 May 2005
Firstpage :
437
Lastpage :
443
Abstract :
Our work is motivated by a practical application of motion study induced by breathing in the abdomen under the influence of diaphragm pressure. In this article, we present an image processing method to analyze the motion of the stomach between expiration and inspiration. Our approach is based on a preliminary edge detection. To extract useful information, we propose two techniques lying respectively on filling and active contour algorithms. The results of both methods are analysed and compared to those obtained manually. In order to improve the results and to overcome the limitations of the proposed edge detector, an edge closing method based on a polynomial contour fitting is applied.
Keywords :
biology computing; curve fitting; edge detection; feature extraction; image motion analysis; image segmentation; medical image processing; abdomen; active contour algorithm; diaphragm pressure; edge closing; edge detection; feature extraction; filling contour algorithm; image processing; image segmentation; information extraction; polynomial contour fitting; stomach dynamic evaluation; stomach motion analysis; Abdomen; Data mining; Feature extraction; Image analysis; Image edge detection; Image motion analysis; Image processing; Image segmentation; Motion analysis; Stomach;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Robot Vision, 2005. Proceedings. The 2nd Canadian Conference on
Print_ISBN :
0-7695-2319-6
Type :
conf
DOI :
10.1109/CRV.2005.73
Filename :
1443163
Link To Document :
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