A complete automatic region growing method for segmentation of masses on ultrasound images

ICBPE 2006 - Proceedings of the 2006 International Conference on Biomedical and Pharmaceutical Engineering

Volumn , Issue , 2006, Pages 88-92

  Poonguzhali, S ^b   Ravindran, G ^a,b  

^a IEEE

^b ANNA UNIVERSITY   (India)

Author keywords

Region growing; Seed point; Segmentation; Texture analysis; Ultrasound

Indexed keywords

ACOUSTIC WAVES; AGRICULTURAL PRODUCTS; BOOLEAN FUNCTIONS; DRUG PRODUCTS; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; SEED; TUMORS; ULTRASONIC IMAGING; ULTRASONIC TRANSMISSION; ULTRASONICS; ULTRASONOGRAPHY;

ACCURATE LOCATION; AUTOMATIC SEGMENTATIONS; AUTOMATIC TECHNIQUES; CO-OCCURRENCE FEATURES; GRADIENT MAGNITUDE; HUMAN BODIES; INTERNAL ORGANS; INTERNATIONAL CONFERENCES; LIVER TUMORS; MANUAL INTERVENTION; MANUAL METHODS; PHARMACEUTICAL ENGINEERING; REGION -OF-INTEREST (ROI); REGION BASED; REGION GROWING; REGION GROWING ALGORITHMS; REGION GROWING METHODS; RUN LENGTH FEATURES; SONOGRAPHER; SPATIAL INFORMATIONS; SPECKLE NOISES; TEXTURAL FEATURES; TIME CONSUMING; ULTRASOUND (US) IMAGES;

ULTRASONIC APPLICATIONS;

EID: 46249103133     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICBPE.2006.348560     Document Type: Conference Paper

References (9)

1. Hiransakolwong,N.,Hua,K.A.,and windyga,P.s. segmentation of ultrasound liver images: An automatic approach. IEEE Multimedia and Expo, ICME 03. Proceedings, 2003 International Conference, 1, 573-576.
2. Xiaohui Hao, Shangkai Gao, Xiaorong Gao, "A novel multi-scale nonlinear thresholding method for ultrasonic speckle suppressing", IEEE Transactions on Medical Imaging, vol.18, no.9, Sept.1999, pp.787-794.
3. Hojjatoleslami SA, Kittler J., "Region growing: a new approach", IEEE Transactions of Image Processing, vol.7, no.7, July 1998, pp.1079-84.
4. Rolf Adams and Leanne Bischof, Seeded Region Growing, IEEE Transactions on Image processing,Vol.16, No.6, June, 1994, pp.641-647.
5. Pavlidis, T., and Liow, Y.T.Integrating region growing and edge detection, IEEE Transaction on Pattern Analysis and Machine Intelligence, 12, 1990,225-231.
6. M. Kass, A.Witkin, and D.Terzopoulos, Snakes: Active contour models, Int. Journal of Computer Vision, vol.,1987, pp.321-331.
7. Haralick R.M.,Shanmugam K,and Dinstein I. Textural features for image classification .IEEE Transactions on Syatems,Man,Cybernetics,1973, pp 610-622
8. Galloway M., "Texture Analysis using Gray Level Run Lengths", Computer Graphics and Image Processing, Vol.4, No.2, 1975, pp 172-199.
9. Yu-BuLee', soo-min song'.jae-sungLee, Myoung-Hee Kim, Tumor Segmentation from Small Animal PET Using Region growing based on Gradient Magnitude IEEE Transaction on Pattern Analysis and Machine Vision, 2005,pp.243-247.