Classification in High Resolution Images with Multiple Classifiers

A Monadjemi, BT Thomas, M Mirmehdi

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

Abstract

We examine the use of high frequency features in high resolution images and demonstrate how they can increase texture classification accuracy when used in combination with lower frequency features. We used eight features, four low frequency and four high frequency, derived from patches of 4032x2688 images. Furthermore, we experiment with both single and multiple classifiers to illustrate the effectiveness of such a combination. Outcomes of classification tests on outdoor scene patches are presented and discussed.
Translated title of the contributionClassification in High Resolution Images with Multiple Classifiers
Original languageEnglish
Title of host publicationUnknown
EditorsJ. J. Villanueva
PublisherIASTED
Pages417 - 421
Number of pages4
ISBN (Print)0889863543
Publication statusPublished - Sep 2002

Bibliographical note

Conference Proceedings/Title of Journal: IASTED Visualization, Imageing and Image Processing VIIP 2002 Conference

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