Higher order statistics in computer vision: analysis of images and detection of extraneous objects in images

Higher order statistics in computer vision: analysis of images and detection of extraneous objects in images

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.

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Bibliographische Detailangaben
Veröffentlicht in:Annals of the New York Academy of Sciences 2002-12, Vol.980 (1), p.152-167
Hauptverfasser: Farhadi, Ali, Shahshahani, Mehrdad
Format: Artikel
Sprache:eng
Schlagworte:
Animals
Cluster Analysis
Fourier Analysis
Humans
Image Processing, Computer-Assisted
Models, Theoretical
Pattern Recognition, Automated
Photography
Reproducibility of Results
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Beschreibung
Zusammenfassung: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.
ISSN:0077-8923
1749-6632
DOI:10.1111/j.1749-6632.2002.tb04895.x