Image processing method, apparatus, and program

Image analysis – Applications – Biomedical applications

Reexamination Certificate

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C382S159000, C382S180000, C382S203000

Reexamination Certificate

active

07929739

ABSTRACT:
Machine learning for learning a characteristic amount of each pixel in a plurality of sample images, each including a particular region with a known contour, is performed in advance to obtain an evaluation function capable of evaluating whether or not each pixel is a pixel representing the contour based on the characteristic amount thereof. An arbitrary point is set within a particular region in an input image, and a discrimination region including the particular region is set in the input image with reference to the arbitrary point. A characteristic amount is obtained from each pixel within the discrimination region, then based on the characteristic amount, an evaluation value indicating whether or not each pixel within the discrimination region is a pixel representing the contour is calculated using the evaluation function, and the contour of the particular region in the input image is determined based on the evaluation value.

REFERENCES:
patent: 5319549 (1994-06-01), Katsuragawa et al.
patent: 5987094 (1999-11-01), Clarke et al.
patent: 6549646 (2003-04-01), Yeh et al.
patent: 6738499 (2004-05-01), Doi et al.
patent: 6760468 (2004-07-01), Yeh et al.
patent: 6973212 (2005-12-01), Boykov et al.
patent: 7298877 (2007-11-01), Collins et al.
patent: 7474775 (2009-01-01), Abramoff et al.
patent: 7492944 (2009-02-01), Narayanan et al.
patent: 7536050 (2009-05-01), Boykov et al.
patent: 2002/0172403 (2002-11-01), Doi et al.
patent: 2007/0154099 (2007-07-01), He et al.
patent: 2003-250794 (2003-09-01), None
Pham et al. “A survey in current methods in medical image segmentation” Annual Review of Biomedical Segmentation, vol. 2, 2000, pp. 315-337.
Oweis et al. “A combined neuro-fuzzy approach for classifying image pixels in medical applications” Journal of Electrical Eng., vol. 56 No. 5-6, 2005, pp. 146-150.
Kazunori Okada, et al., “Robust Anisotropic Gaussian Fitting for Volumetric Characterization of Pulmonary Nodules in Multislice CT”, IEEE Transactions on Medical Imaging, Mar. 2005, pp. 409-423, vol. 24, No. 3.
Sheila Timp, et al., “A new 2D segmentation method based on dynamic programming applied to computer aided detection in mammography” Medical Physics, May 2004, pp. 958-971, vol. 31, No. 5, Department of Radiology, University Medical Center, Nijmegen, The Netherlands.
Yuri Y. Boykov, et al., “Interactive Graph Cuts for Optimal Boundary & Region Segmentation of Objects in N-D Images”, Proceedings of “Internation Conference on Computer Vision”, Jul. 2001, pp. 105-112, vol. I, Vancouver, Canada.

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