The GPU on biomedical image processing for color and phenotype analysis

Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

Volumn , Issue , 2007, Pages 1124-1128

  Ruiz, Antonio ^a   Ujaldón, Manuel ^a   Andrades, José Antonio ^a   Becerra, José ^a   Huang, Kun ^b   Pan, Tony ^b   Saltz, Joel ^b  

^a UNIVERSITY OF MÁLAGA   (Spain)

^b OHIO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS; COLOR; CONFORMAL MAPPING; DIGITAL IMAGE STORAGE; HOUGH TRANSFORMS; IMAGE PROCESSING; IMAGING SYSTEMS; OPTICAL PROPERTIES; PARALLEL ALGORITHMS; PATTERN RECOGNITION;

APPLICATIONS.; BIOMEDICAL IMAGE PROCESSING; BONE TISSUE REGENERATIONS; CANNY FILTERS; COLOR ANALYSES; COLOR HISTOGRAMS; COMPUTATIONAL POWERS; CONTOUR DETECTIONS; COOPERATIVE ENVIRONMENTS; GRAPHICS PROCESSING UNITS; MAP ALGORITHMS; MEMORY BANDWIDTHS; MICROSCOPIC IMAGES; PERFORMANCE GAINS; STEM CELLS;

DATA STORAGE EQUIPMENT;

EID: 47649122873     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBE.2007.4375701     Document Type: Conference Paper

References (19)

1. A Web page dedicated to the latest developments in general-purpose on the GPU. http://www.gpgpu.org.
2. Andrades, J.A., Santamaría, J.A., Nimni, M.E., Becerra, J. Selection, amplification and induction of a bone marrow cell population to the chondro-osteogenic lineage by rhOP-1: an in vitro and in vivo study. International Journal Developmental Biology, vol. 45, pp. 683-693 (2001).
3. Ballard, D. Generalized Hough transform to detect arbitrary patterns. IEEE Trans. on Pattern Analysis and Machine Intel., Vol. 13, no. 2, pp. 111-122, 1981.
4. Beucher, S. The watershed transformation applied to image segmentation. Proceedings 10th Conference on Signal and Image Processing in Microscopy and Microanalysis, pp. 16-19, 1991.
5. Canny, J. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 8, no. 6, pp. 679-698, 1986.
6. Fluck, O., Aharon, S., Cremers, D., Rousson, M. GPU Histogram Computation. Poster in Proceedings SIGGRAPH 2006.
7. Govindaraju, N.K., Raghuvanshi, N., Manocha, D. Fast and Approximate Stream Mining of Quantiles and Frequencies Using Graphics Processors. Proceedings SIGMOD 2005.
8. Griesser, A., De Roeck, S., Neubeck, A., Van Gool, L. GPU-Based Foreground-Background Segmentation using an Extended Colinearity Criterion. Proceedings VMV 2005, November 16-18, Erlangen (Germany).
9. Hadwiger, M., Langer, C., Scharsach, H., Buhler, K. State of the Art Report 2004 on GPU-Based Segmentation. Technical Report TR-VRVis-2004-017. VRVis Research Center, Vienna (Austria).
10. Hendee, W.R. and Ritenour E.R. Medical Imaging Physics. Wiley-Liss, 2002.
11. K. Huang., K. Mosaliganti, T. Pan, J. Saltz. Mouse Placenta: Tissue Layer Segmentation. Procs. 27th Intl. Conf. of the IEEE Engineering in Medicine and Biology Society, 2005.
12. Kass, M., Witkin, A., Terzopoulos, D. Snakes: Active contour models. Intl. Journal of Computer Vision, vol. 1, no. 4, pp. 321-331, 1988.
13. th VLDB Conf, Hong-Kong (China), 2002.
14. Owens,J.D., Luebke,D., Govindaraju,N., Harris,M., Kruger,J., Lefohn,A.E. and Purcell,T.J. A Survey of General-Purpose Computation on Graphics Hardware. J. Computer Graphics Forum, Vol. 26, No. 1, 2007.
15. Pratt., W.K. Digital Image Processing. John Wiley & Sons, Inc. (1978). ISBN: 0-471-01888-0.
16. Sezgin, M. and Sankur, B. Survey over image thresholding techniques and quantitative performance evaluation. J. Electronic Imaging, vol. 13, no. 1, pp. 146-165, 2004.
17. Strzodka, R. Ihrke, I., Magnor, M. A Graphics Hardware Implementation of the Generalized Hough Transform for fast Object Recognition, Scale and 3D Pose Detection. Int'l Conf. on Image Analysis and Processing, pp. 188-193, 2003.
18. Suri, J., Wu D. A comparison of state-of-the-art diffusion imaging techniques for smoothing medical/non-medical image data. 16th Intl. Conf. on Pattern Recognition, 2006.
19. Weickert, J. A review of nonlinear diffusion filtering. Intl. Conf. on Scale-Space Theory in Computer Vision, pp. 3-28, 1997.