Repositorio de producción científica de la Universidad de Sevilla

Color-texture image segmentation based on multistep region growing

 

Advanced Search
 

Show simple item record

dc.creator Fondón García, Irene es
dc.creator Serrano Gotarredona, María del Carmen es
dc.creator Acha Piñero, Begoña es
dc.date.accessioned 2017-04-04T14:50:55Z
dc.date.available 2017-04-04T14:50:55Z
dc.date.issued 2006
dc.identifier.issn 0091-3286 es
dc.identifier.uri http://hdl.handle.net/11441/57089
dc.description.abstract A new method for color image segmentation is proposed. It is based on a novel region-growing technique with a growth tolerance parameter that changes with step size, which depends on the variance of the actual grown region. Contrast is introduced to determine which value of the tolerance parameter is taken, choosing the one that provides the region with the highest contrast in relation to the background. Color and texture information are extracted from the image by means of a novel idea: the construction of a color distance image and a texture energy image. The color distance image is formed by calculating CIEDE2000 distance in the L*a*b* color space. The texture energy image is extracted from some statistical moments. Then, a novel texture-controlled multistep region-growing process is performed for the segmentation. One advantage of the method is that it is not designed to work with a particular kind of images. This method is tested on 80 natural color images of the Corel photo stock collection with excellent results. Numerical evidence of the quality of these results is provided by comparing them with the manual segmentation of five experts and with another color and texture segmentation algorithm es
dc.format application/pdf es
dc.language.iso eng es
dc.publisher Society of Photo-optical Instrumentation Engineers es
dc.relation.ispartof Optical Engineering, 45 (5), 057002-1-057002-9. es
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 Internacional *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject Color image processing es
dc.subject Segmentation es
dc.subject Texture analysis es
dc.title Color-texture image segmentation based on multistep region growing es
dc.type info:eu-repo/semantics/article es
dc.type.version info:eu-repo/semantics/publishedVersion es
dc.rights.accessrights info:eu-repo/semantics/openAccess es
dc.contributor.affiliation Universidad de Sevilla. Departamento de Teoría de la Señal y Comunicaciones es
dc.relation.publisherversion http://opticalengineering.spiedigitallibrary.org/article.aspx?articleid=1076670 es
dc.identifier.doi 10.1117/1.2205900
idus.format.extent 9 p. es
dc.journaltitle Optical Engineering es
dc.publication.volumen 45 es
dc.publication.issue 5 es
dc.publication.initialPage 057002-1 es
dc.publication.endPage 057002-9 es
Size: 804.8Kb
Format: PDF

This item appears in the following Collection(s)

Show simple item record