Excluding background initial segmentation for radiographic image segmentation

International Journal of Innovative Computing, Information and Control

Volumn 5, Issue 11, 2009, Pages 3849-3860

  Shu, San Ging ^a,b   Lin, Hsiu Hsia ^c   Kuo, Shiau Wei ^c   Yi, Shyr Shen ^c  

^a TAICHUNG VETERANS GENERAL HOSPITAL   (Taiwan)

^b CHUNG SHAN MEDICAL UNIVERSITY   (Taiwan)

^c NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

Author keywords

2 means; Bone age; Bone age assessment; Feature extraction; GVF snake; Segmentation

Indexed keywords

AUTOMATIC SEGMENTATIONS; BONE AGE; BONE AGE ASSESSMENT; BONY TISSUE; CANNY EDGES; CLUSTERING METHODS; INITIAL SEGMENTATION; K-MEANS; RADIOGRAPHIC IMAGES; SEGMENTATION TECHNIQUES; SKELETAL DEVELOPMENT; SNAKE SEGMENTATION; SOFT TISSUE; WATERSHED METHODS;

BONE; IMAGE SEGMENTATION; RADIOGRAPHY;

FEATURE EXTRACTION;

EID: 71149119747     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (23)

1. A. Witkin, M. Kass and D. Terzopoulos, Snake: active contour model, Int. J. Comput, vol.1, pp.321-331, 1987.
2. C. Chang, C. Lin and Y. Hu, An SVD oriented watermark embedding scheme with high qualities for the restored images, International Journal of Innovative Computing, Information and Control, vol.3, no.3, pp.609-620, 2007.
3. C. C. Hana, C. H. Leeb and W. L. Pengb, Hand radiograph image segmentation using a coarse-to-fine strategy, Pattern Recognition, vol.40, no.11, pp.2994-3004, 2007.
4. C. Xu and J. L. Prince, Snakes, shapes, and gradient vector flow, IEEE Trans. Image Process., vol.7, no.3, pp.359-369, 1998.
5. D. B. Darling, Radiography of Infants and Children, Springfield, IL: Charles C Thomas, Ch.6, pp.370-372, 1979.
6. E. Pietka, A. Gertych, S. Pospiech, H. K. Huang and F. Cao, Computer assisted bone age assessment: image pre-processing and ROI extraction, IEEE Trans. Medical on Imaging, vol.20, no.8, pp.715-729, 2001.
7. E. Pietka, S. P. Kurkowska, A. Gertych and F. Cao, Integration of computer assisted bone age assessment with clinical PACS, Comput. Med. Imag. Crap., vol.27, pp.217-228, 2003.
8. E. Pietka, A. Gertych, K. S Pospiech, F. Cao, H. K. Huang and V. Gilzanz, Computer-assisted bone age assessment: Graphical user interface for image processing and comparison, J. Digit. Imaging, vol.17, no.3, pp.175-188, 2004.
9. E. Pietka, A. Gertych and B. J. Liu, Segmentation of regions of interest and post-segmentation edge location improvement in computer-aided bone age assessment, Pattern Anal. Appl., vol.10, no.2, pp.115-123, 2007.
10. H. Kwon, S. Z. Der and N. M. Nasrabadi, An adaptive segmentation algorithm using iterative local feature extraction for hyperspectral Imagery, IEEE Int. Conf. on Image Proc., vol.1, pp.74-77, 2001.
11. H. H. Lin, S. G. Shu, P. C. Huang and S. S Yu, An adaptive two-means clustering technique with distance for segmentation of epiphyseal/metaphyseal region in hand radiographs (submitted for publication).
12. J. S. Lee, Refined filtering of image noise using local statistics, Comput. graph, image process, vol.15, pp.380-389, 1981.
13. J. M. Tanner and R. H. Whitehouse, Assessment of Skeletal Maturity and Prediction of Adult Height (TW2 Method), London, Academic Press, 1975.
14. K. S. Pospiech, A. Gertych, E. Pietka, F. Cao and H. K. Huang, Wavelet decomposition based features in description of epiphyseal fusion, Analysis of Biomedical Signals and Images, Proc. of the 15th Euro Conference Biosignal, Brno, pp.246-248, 2000.
15. K. S. Prasanna and A. Gurdial, Image thresholding using two-dimensional Tsallis-Havrda-Charvat entropy, Pattern Recogn. Lett., vol.27, pp.520-528, 2006.
16. M. D. Levine and A. M. Nazif, Dynamic measurement of computer generated image segmentations, IEEE Trans. Pattern Anal. Machine Intell., vol.7, no.2, pp.155-164, 1985.
17. M. Sezgin and B. Sankur, Survey over image thresholding techniques and quantitative performance evaluation, J. Electron. Imaging, vol.13, no.1, pp.146-165, 2004.
18. M. Weng and M. He, Image detection based on susan method and integrated feature matching, International Journal of Innovative Computing, Information and Control, vol.4, no.3, pp.671-680, 2008.
19. T. Pappas, An adaptive segmentation algorithm for image segmentation, IEEE Trans, on Signal Processing, vol.40, no.4, pp.901-914, 1992.
20. W. W. Greulich and S. I. Pyle, Radiographic Atlas of Skeletal Development of Hand Wrist, Second edition, Stanford, CA: Standford University Press, 1971.
21. X. Han, Y. Chen and J. Lei, A spatio-chromatic ICA based noise reduction in color images, International Journal of Innovative Computing, Information and Control, vol.4, no.3, pp.661-670, 2008.
22. Y. J. Zhang, A survey on evaluation methods for image segmentation, Pattern Recognition, vol.29, no.8, pp.1335-1346, 1974.
23. Z. Zhang and Y. Zhao, Multiple description image coding based on fractal, International Journal of Innovative Computing, Information and Control, vol.3, no.6(B), pp.380-389, 2007.