A novel Active Contour Model algorithm for contour detection in complex objects

Proceedings of the 2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, CIMSA

Volumn , Issue , 2007, Pages 49-53

  Gargano, G ^a,b   Bellotti, R ^a,b   De Carlo, F ^a,b   Tangaro, S ^a   Tommasi, E ^b   Castellano, M ^c   Cerello, P ^d   Cheran, S C ^d   Fulcheri, C ^e  

^a INFN SEZIONE DI BARI   (Italy)

^b UNIVERSITY OF BARI   (Italy)

^c POLITECNICO DI BARI   (Italy)

^d SEZIONE DI TORINO   (Italy)

^e UNIVERSITY OF TURIN   (Italy)

Author keywords

3D chest computer tomography; Active contour model; Local convex hull

Indexed keywords

ARSENIC COMPOUNDS; ARTIFICIAL INTELLIGENCE; BIOLOGICAL ORGANS; BOOLEAN FUNCTIONS; COMPUTERIZED TOMOGRAPHY; ELECTRIC INSTRUMENT TRANSFORMERS; IMAGE ENHANCEMENT; IMAGING TECHNIQUES; INTELLIGENT CONTROL; MEDICAL IMAGING;

ACTIVE CONTOUR MODEL (ACM); COMPLEX OBJECTS; COMPUTATIONAL INTELLIGENCE (CI); CONTOUR DETECTION; CONVEX HULLS; CT SCANNING; ELASTIC BAND (NEB); INTERNATIONAL CONFERENCES; LOW DOSE; LUNG VOLUME; MEASUREMENT SYSTEMS; MEDICAL IMAGES; SEGMENTATION SYSTEM;

ALGORITHMS;

EID: 47149114936     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIMSA.2007.4362537     Document Type: Conference Paper

References (5)

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4. Kang Dong J. A fast and stable snake algorithm for medical images. Pattern Recognition Letters, 20(5):507-512, May 1999.
5. http://www.ielcap.org/ielcap.pdf and http://www.cspo.it.