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Higher order statistics in computer vision: analysis of images and detection of extraneous objects in images
Ali Farhadi1, Mehrdad Shahshahani
1Department of Mathematics, Institute for Studies in Theoretical Physics and Mathematics, Tehran, Iran.
Annals of the New York Academy of Sciences
|February 21, 2003
Abstract:
The aim of this work is to present methods for classifying images and locating extraneous objects within images. Our methods make use of higher order statistics, transforms of data into the frequency domain, and characteristics of the resulting clusters.