System and method for detecting tagged material using alpha...

Image analysis – Applications – Biomedical applications

Reexamination Certificate

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C378S004000, C378S021000

Reexamination Certificate

active

07876947

ABSTRACT:
A method for computer-aided object classification, soft segmentation and layer extraction in computed tomographic colonography includes providing a contrast enhanced computed tomography (CT) digital image of the colon, finding a foreground region of voxels with an intensity higher than a pre-defined foreground threshold, creating a 3D trimap of the colon where the image is segmented into the foreground region, a background region, and an unknown region between the foreground and background, starting from the background, extracting successive layers of the unknown region until the foreground region is reached, and classifying each extracted layer as background or foreground, and generating a foreground matte, a background matte, and an alpha matte, where alpha indicates a mixing ration of foreground and background voxels.

REFERENCES:
patent: 2007/064980 (2007-06-01), None
Chuang, “Bayesian Image Matting”, New Models and Methods for Matting and Compositing (Ph.D. Thesis), 2004, pp. 15-34.
Tu et al., “A Learning Based Approach for 3D Segmentation and Colon Detagging”, Computer Vision—ECCV 2006 Lecture Notes in Computer Science, Springer, Berlin, DE, vol. 3953, Jan. 1, 2006, pp. 436-448.
International Search Report including Notification of Transmittal of the International Search Report, International Search Report, and Written Opinion of the International Searching Authority.
Yung-Yu Chuang, et al., “A Byesian Approach to Digital Matting,” vol. 2. (Dec. 2004) 264-271.
Yung-Yu change, et al., “Video Matting of Complex Scenes,” ACM Transaction on Graphics 21 (3) (2002) 243-248.

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