Method for detecting geometrical structures in images

Image analysis – Applications – Biomedical applications

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C382S199000

Reexamination Certificate

active

07903862

ABSTRACT:
A method for detecting geometrical structures in images, especially in images of chemical and/or biological samples, such as images of cells, the method comprising the following steps: detecting a boundary line of the image object; defining at least one sector inside the image, the origin (pk) of which lies on the boundary line; transforming the image section defined by the sector into a transformation space by means of a transformation that associates signatures in the transformation space with respective geometrical structures in the image section; determining the presence of at least one signature inside the transformation space; and retransforming the signatures from the transformation space into the sector for the representation of the geometrical structure.

REFERENCES:
patent: 6675040 (2004-01-01), Cosman
patent: 7215802 (2007-05-01), Klingensmith et al.
patent: 2002/0012466 (2002-01-01), DeLong
Zimmermann et al. “Mammalian cell traces—morphology, molecular composition, artificial guidance and biotechnological relevance as a new type of bionanotube,” Applied Physics A 73, pp. 11-26.
Leavers, V.F. “Survey: Which Hough Transform?” CVGIP: Image Understanding, vol. 58, No. 2, Sep. 1993, pp. 250-264.
Murakami et al. “High-Speed Line Detection Method Using Hough Transform in Local Area,” Systems and Computers in Japan, vol. 32, No. 10, 2001, pp. 22-30.
Leavers, V.F. “The Dynamic Generalized Hough Transform,” Curves and Surfaces in Computer Vision and Graphics, SPIE vol. 1251, 1990, pp. 281-292.
Shpilman et al. “Fast and robust techniques for detecting straight line segments using local models,” Pattern Recognition Letters 20, Elsevier Science B.V., 1999, pp. 865-877.
Lyazghi et al. “Characterization of Actin Filaments in Cancer Cells by the Hough Transform,” Signal Processing, Pattern Recognition & Applications, Jul. 3-6, 2001, pp. 138-142.
Utcke, Sven. “Error-Bounds on Curvature Estimation,” Hamburg University, http://kogs-www.informatik.uni-hamburg.de/˜Utcke. pp. 1-9.
Mokhtarian et al. “A Theory of Multiscale, Curvature-Based Shape Representation for Planar Curves,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 14, No. 8, Aug. 1992, pp. 789-805.
Huttonlocher et al. “Comparing Images Using the Hausdorff Distance,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, No. 9, Sep. 1993, pp. 850-863.
Leavers, V.F.; “Survey Which Hough Transform?”; CVGIP Image Understanding, Bd. 58, Nr. 2, Sep. 1, 1993, pp. 250-264.
Leavers, V.F.;The Dynamic Generalized Hough Transform; Ccurves and Surfaces in Computer Vision and Graphics, Bd. 1251, Feb. 13, 1990, pp. 281-292.
Shpilman, et al.; “Fast and Robust Techniques for Detecting Straight Line Segments Using Local Models”, Pattern Recognition Letters, Bd. 20, Nr. 9, Sep. 20, 1999. pp. 865-877.
International Search Report dated Jan. 11, 2006 from PCT/EP2005/053275.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Method for detecting geometrical structures in images does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Method for detecting geometrical structures in images, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method for detecting geometrical structures in images will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-2685097

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.