Shape feature extraction and classification

Details Shape feature extraction and classification Shape feature extraction and classification

2004-12-03

2010-02-23

Ahmed, Samir A. (Department: 2624)

Image analysis

Pattern recognition

Feature extraction

C382S115000, C345S544000, C370S240000

Reexamination Certificate

active

07668376

ABSTRACT:
System and method for analyzing an image. A received image, comprising an object or objects, is optionally preprocessed. Invariant shape features of the object(s) are extracted using a generalized invariant feature descriptor. The generalized invariant feature descriptor may comprise a generalized invariant feature vector comprising components corresponding to attributes of each object, e.g., related to circularity, elongation, perimeter-ratio-based convexity, area-ratio-based convexity, hole-perimeter-ratio, hole-area-ratio, and/or functions of Hu Moment 1 and/or Hu Moment 2. Non-invariant features, e.g., scale and reflection, may be extracted to form corresponding feature vectors. The object is classified by computing differences between the generalized invariant feature vector (and optionally, non-invariant feature vectors) and respective generalized invariant feature vectors corresponding to reference objects, determining a minimum difference corresponding to a closest reference object or class of reference objects of the plurality of reference objects, and outputting an indication of the closest reference object or class as the classification.

REFERENCES:
patent: 6275614 (2001-08-01), Krishnamurthy et al.
patent: 6501857 (2002-12-01), Gotsman et al.
patent: 6631204 (2003-10-01), Smith
patent: 7236623 (2007-06-01), Chapoulaud et al.
patent: 2003/0156762 (2003-08-01), August
Weber, et al., “Viewpoint-Invariant Learning and Detection of Human Heads”, Proceedings I M. of the 4th International Conference on Automatic Face and Gesture Recognition, 2000, pp. 20-27.
P K Sinha, Fast Recognition on general processor using moment invariants, printed and published by IEEE, Savoy Place, London WC2R0BL, UK , 1993, pp. 1-4.
R. C. Gonzalez and R. E. Woods, “Digital Image Processing,” Addison-Wesley Publishing Company, Inc., New York, New York, 1992, pp. 502-507.
M. K. Hu, “Visual Pattern Recognition by Moment Invariants,” IRE Transactions on Information Theory, vol. IT-8, Feb. 1962, pp. 179-187.
L. I. Kuncheva, J. C. Bezkek, R. P. Duin, “Decision templates for multiple classifier fusion: an experimental comparison,” Pattern Recognition Society, vol. 34, 2001.

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