A hybrid segmentation framework using level set method for confocal microscopy images

BIOSIGNALS 2008 - Proceedings of the 1st International Conference on Bio-inspired Systems and Signal Processing

Volumn 2, Issue , 2008, Pages 277-282

  Xue, Quan ^a   Degrelle, Severine ^b   Wang, Juhui ^a   Hue, Isabelle ^b   Guillomot, Michel ^b  

^a UR341 National Agronomical Research Institute (INRA)   (France)

^b INRA Institut National de la Recherche Agronomique   (France)

Author keywords

Confocal microscopy; Fast marching; Geodesic active contour; Image segmentation; Level set

Indexed keywords

COMPUTERIZED TOMOGRAPHY; CONFOCAL MICROSCOPY; CUSTOMER SATISFACTION; DIGITAL IMAGE STORAGE; ERRORS; GEODESY; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE SEGMENTATION; LEVEL MEASUREMENT; MAMMALS; MICROSCOPIC EXAMINATION; QUALITY ASSURANCE; QUALITY FUNCTION DEPLOYMENT; SIGNAL PROCESSING; TOTAL QUALITY MANAGEMENT;

BLOB DETECTIONS; CONFOCAL MICROSCOPY IMAGES; ENERGY MINIMIZATIONS; FAST MARCHING; FRONT PROPAGATIONS; GAUSSIAN KERNELS; GEODESIC ACTIVE CONTOUR; GEODESIC ACTIVE CONTOURS; GRAPHICAL INTERFACES; HYBRID FRAMEWORKS; HYBRID SEGMENTATIONS; INITIAL CONDITIONS; LAPLACIAN; LEVEL SET APPROACHES; LEVEL SET METHODS; LEVEL-SET; MARCHING ALGORITHMS; NUCLEI SEGMENTATIONS; POST-PROCESSING; RESIDUAL ERRORS; VORONOI;

QUALITY CONTROL;

EID: 55649097752     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Byun. J.Y., Verardo. M.R., Sumengen. B., Lewis. G.P., Manjunath. B.S., Fisher. S.K., 2006. Automated tool for the detection of cell nuclei in digital microscopic images: Application to retinal images. Molecular Vision, pp.949-960. August 2006.
2. Chang. H., Park. C., Parvin. B., 2007. Quantitative representation of three-dimensinal cell culture models. In ISBI'07, IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.536-539. April 12-15, 2007. Washington DC, USA.
3. th of October 2006. Copenhagen, Denmark, USA.
4. Long. F.L., Peng. H.C., Myers, E., 2007. Automatic segmentation of nuclei in 3D microscopy images of c.elegans. In ISBI'07, IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.536-539. April 12-15, 2007. Washington DC, USA.
5. st edition
6. Sethian, J.A., 1996. Level set methods and fast marching methods. CAMBRIDE UNIVERSITY Press.
7. Solorzano. C.O., Malladi. R., Lelievre.S.A., Lockett. S.J., 2001. Segmentation of nuclei and cells using membrane related protein markers. Journal of Microscopy, Vol.201, Pt 3, pp.404-415, March 2001.
8. Thomas, J.G., Graham, W., 2007. WatershedCounting3D: A new method of segmenting and counting punctuate structures from confocal image data. Blackwell Synergy - Traffic, Volume 8 Issue 4 pp. 339-346, April 2007.
9. Vicent. C., Ron. K, Guillermo. S., 1997. Geodesic Active Contours. International Journal of Computer Vision, Vol.22 (1), pp.61-79, 1997.
10. Wahlby. C., Sintorn. I.M., Erlandsson. F., Borgefors. G., Bengtson. E., 2004. Combining intensity, edge, and shape information for 2D and 3D segmentation of cell nuclei in tissue sections. Journal of Microscopy, Vol.215, Pt 1, pp.67-76, July 2004.
11. Wu. H.S., Xu. R., Harpaz. N., Burstein. D., Gil. J., 2005. Segmentation of intestinal gland images with iterative region growing. Journal of Microscopy, Vol.220, Pt 3, pp. 190-204, December 2005.