Repository logo
 

An analysis of grating cell features for texture discrimination

Simple item page
dc.contributor.authorStevens, John, author
dc.contributor.authorDraper, Bruce A. (Bruce Austin), 1962-, advisor
dc.contributor.authorTroup, Lucy, advisor
dc.contributor.authorBeveridge, J. Ross, 1957-, committee member
dc.date.accessioned2007-01-03T05:51:42Z
dc.date.available2007-01-03T05:51:42Z
dc.date.issued2010
dc.descriptionDepartment Head: L. Darrell Whitley.
dc.description.abstractThe design of artificial vision systems has been influenced by knowledge of the early stages of processing in the human vision system. The discovery of directionally sensitive cells in the human visual cortex lead to the theory of edge detection in computer vision, and the discovery that simple cell receptive fields can be modeled as Gabor filters has led to the development and use of Gabor jets. In this thesis, we evaluate a low-level image feature inspired by "grating" cells found in the human visual cortex. These cells, and the features based on them, detect spatial gratings–repeated patterns of light and dark bars–in their receptive fields. We evaluate the utility of grating cell model features to distinguish different textures using Fisher’s linear discriminant. It will be shown that the grating cell features contain significantly more distinguishing information than another standard Gabor-filter-based image feature.
dc.format.mediummasters theses
dc.identifier2010_Summer_Stevens_John.pdf
dc.identifierETDF2010300008COMS
dc.identifier.urihttp://hdl.handle.net/10217/41470
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.titleAn analysis of grating cell features for texture discrimination
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineComputer Science
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
2010_Summer_Stevens_John.pdf
Size:
1.97 MB
Format:
Adobe Portable Document Format
Description:
Download

Collections

2000-2019
Theses and Dissertations