Window texture extraction for image analysis

Details Window texture extraction for image analysis Window texture extraction for image analysis

1998-01-20

1999-09-07

Tran, Phuoc

Image analysis

Pattern recognition

Feature extraction

382168, 382266, G06K 956

Patent

active

059499079

ABSTRACT:
A window texture extraction process for quantifying texture features in grey-level images and combining the quantified texture features with previously derived classification results. The previously determined classification results require that all of the training data and all the target data be assigned, or be capable of being assigned to one of two classes. The result is a set of new features that can be quickly analyzed to determine such properties as class membership for identification purposes. In order to fold-in the classification results, the class membership is established in previous experiments on images which have been characterized. The previous experiments are executed through the application of a window texture extraction kernel according to the invention.

REFERENCES:
patent: 5633948 (1997-05-01), Kegelmeyer, Jr.
patent: 5757953 (1998-05-01), Jang
patent: 5768333 (1998-06-01), Abdel-Mottaleb
Proceedings IEEE Southeastcon '92, vol. 1, Apr. 12-15, 1992, New York, N.Y., USA pp. 20-22, XP000338676 Kanitkar & Dudgeon: "A Walsh Transform-Neural Network Method for Estimating the Size Distribution of Bubbles in a Liquid".
IEEE International Conference on Acoustics, Speech and Signal Processing, Apr. 27-30, 1993, New York, N.Y., USA, pp. V-21-V-24, XP000437613 Chen and Kundu: "Automatic Unsupervised Texture Segmentation Using Hidden Markov Model".

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