Image analysis – Pattern recognition – Classification
Reexamination Certificate
2006-09-05
2006-09-05
Ahmed, Samir (Department: 2624)
Image analysis
Pattern recognition
Classification
C382S131000
Reexamination Certificate
active
07103224
ABSTRACT:
Abnormal regions in volumetric image sets are detected and delineated through the following technique. Noise is suppressed in the original data. The background is classified into one or more background classes. An exemplar is identified. Essentially similar structures throughout the volume are identified; a directed clustering technique has been developed for doing so. Quantitative information (lesion volume, shape, etc.) is extracted and output to database.
REFERENCES:
patent: 5365429 (1994-11-01), Carman
patent: 5598481 (1997-01-01), Nishikawa et al.
patent: 5812691 (1998-09-01), Udupa et al.
patent: 5987094 (1999-11-01), Clarke et al.
patent: 6112112 (2000-08-01), Gilhuijs et al.
patent: 6754374 (2004-06-01), Miller et al.
Ge et al., “A Statistical 3-D Segmentation Algorithm for Classifying Brain Tissues in Multiple Sclerosis”, Proc. of IEEE- Computer Based Medical Systems, pp. 455-460, 2001.
Yu et al., “Comparative Performance Analysis of Adaptive Multispectral Detectors”, IEEE Transactions on signal processing, vol. 41, No. 8, Aug. 1993, pp. 2639-2656.
Reed et al., “Adaptive Multiple-Band CFAR Detection of an Optical Pattern with Unknown Spectral Distribution”, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 38, No. 10, Oct. 1990, pp. 1760-1770.
Ashton, E.A, “Multialgorithm solution for automated Multispectral target detection,” Optical Engineeering, vol. 38, No. 4, Apr. 1999, pp. 717-724.
Ashton, E.A., “Detection of Subpixel Anomalies In Multispectral Infrared Imagery Using an Adaptive Bayesian Classifier, ”IEEE Transactions on Geoscience and Remote Sensing, vol. 36, No. 2, Mar. 1998, pp. 506-517.
Ahmed Samir
VirtualScopics LLC
LandOfFree
Method and system for automatic identification and... 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 and system for automatic identification and..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and system for automatic identification and... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3584434