Efficient eye location for biomedical imaging using two-level classifier scheme

International Journal of Control, Automation and Systems

Volumn 6, Issue 6, 2008, Pages 828-835

  Nam, Mi Young ^a   Wang, Xi ^a   Rhee, Phill Kyu ^a  

^a Inha University   (South Korea)

Author keywords

Biomedical imaging; Eye location; Image context; Two level classifier

Indexed keywords

CLASSIFIERS; COMPUTER VISION; IMAGE PROCESSING; IMAGE QUALITY; LEARNING SYSTEMS;

ALGORITHMIC LEVELS; BIOMEDICAL IMAGING; COMPUTATIONAL ANALYSES; EYE LOCATION; EYE LOCATIONS; HIGH ACCURACIES; IMAGE CONTEXT; IMAGE CONTEXTS; NOVEL METHODS; OBJECT DETECTIONS; TWO-LEVEL CLASSIFIER; VARIABLE CHANGES;

LOCATION;

EID: 57549103693     PISSN: 15986446     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. K. Noronha, J. Nayak, and S. N. Bhat, "Enhancement of retinal fundus Image to highlight the features for detection of abnormal eyes," Proc. of TENCON 2006, IEEE Region 10 Conference, 2006.
2. F. Zana and J. C. Klein, "A multimodal registration algorithm of eye fundus images using vessels detection and hough transform," IEEE Trans. on Medical Imaging, vol. 18, no. 5, pp. 419-428, May 1999.
3. Z. B. Sbeh and L. D. Cohen, "A new approach of geodesic reconstruction for drusen segmentation in eye fundus images," IEEE Trans. on Medical Imaging, vol. 20, no. 12, pp. 1321-1333, December 2001.
4. K. P. White, Jr, "Modeling human eye behavior during mammographic scanning: Preliminary results," IEEE Trans. on Systems, Man, and Cybernetics-Part A, vol. 27, no. 4, pp. 494-505, July 1997.
5. M. V. Figueira, D. F. G. de Azevedo, T. Russomano, C. A. Zaffari, and M. F. da Rocha, "Improvements on a fast algorithm for real time eye movement quantification," Proc. of the 28th IEEE EMBS Annual International Conference, New York City, USA, pp. 3970-3973, Augest 2006.
6. L. Kuncheva and L. C. Jain, "Designing classifier fusion systems by genetic algorithms," IEEE Trans. on Evolutionary Computation, vol. 4, no. 4, pp. 327-335, September 2000.
7. P. Shih and C. Liu, "Face detection using discriminating feature analysis and support vector machine," Pattern Recognition, vol. 39, no. 2, pp. 260-276, February 2006.
8. V. B. Berikov, "An approach to the evaluation of the performance of a discrete classifier," Pattern Recognition Letters, vol. 23, no. 1-3, pp. 227-233, January 2002.
9. R. R. Yager, "An extension of the naive Bayesian classifier," Information Sciences, vol. 176, no. 5, pp. 577-588, March 2006.
10. Y. Li, S. Gong, J. Sherrah, and H. Liddell, "Support vector machine based multi-view face detection and recognition," Image and Vision Computing, vol. 22, no. 5, pp. 413-427, May 2004.
11. S. J. Redmond and C. Heneghan, "A method for initialising the K-means clustering algorithm using kd-trees," Pattern Recognition Letters, vol. 28, no. 8, pp. 965-973, June 2007.
12. F. Pernkopf, "Bayesian network classifiers versus selective k-NN classifier," Pattern Recognition, vol. 38, no. 1, pp. 1-10, January 2005.
13. C. Liu, "A Bayesian discriminating features method for face detection," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 25, no. 6, pp. 725-740, 2003.
14. O. Jesorsky, K. Kirchberg, and R. Frischholz, "Robust face detection using the Hausdorff distance," A VBPA2001, LNCS 2091, pp, 90-95, 6-8 June 2001.
15. K. Younis, M. Karim, R. Hardie, J. Loomis, S. Rogers, and M. DeSimio, "Cluster merging based on weighted mahalanobis distance with application in digital mammograph," Proc. of IEEE Aerospace and Electronics Conference, pp. 525-530, 1998.