Method for associating a digital image with a class of a...

Details Method for associating a digital image with a class of a... Method for associating a digital image with a class of a...

2011-01-25

2011-01-25

Le, Brian Q (Department: 2624)

Image analysis

Pattern recognition

Classification

C382S225000, C382S226000, C382S227000, C382S228000

Reexamination Certificate

active

07876964

ABSTRACT:
Disclosed is a method for assigning the content of a digital image to a class of a classification system. Said method comprises the following steps: —a predetermined number of F numerical shape characteristics ψmare determined; —the value of each shape characteristic of the F numerical shape characteristics determined for the image is compared to the value filed in a table for the respective shape characteristic, values for the individual numerical shape characteristics being allocated to each class in the table; —the class in which the F numerical shape characteristics determined for said image correspond best to the values of the numerical shape characteristics indicated in the table for said class is output as the class into which the image that is to be recognized is classified.

REFERENCES:
patent: 0649 113 (1995-04-01), None
patent: 0854 435 (1998-07-01), None
Ming-Kuei Hu: “Visual Pattern Recognition by Moment Invariants”, in: IRE Transactions on Infromastion Theory, Feb. 1962, pp. 179-187.
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S.O. Belkasim et al.: “Pattern Recognition With Moment Invariants: A Comparative Study And New Results”, in: Pettern recognition, Elsevier, Kidlington, vol. 24, No. 12, Jan. 1991, pp. 1117-1138.
F. Mindru et al.: “Moment Invariants For Recognition Under Changing Viewpoint And Illumination”, in: Computer Vision and Image Understanding, Academic Press, San Diego, CA vol. 94, No. 1-3, Apr. 2004, pp. 3-27.

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