dc.contributor.author |
Vergados, D |
en |
dc.contributor.author |
Anagnostopoulos, C |
en |
dc.contributor.author |
Anagnostopoulos, I |
en |
dc.contributor.author |
Kayafas, E |
en |
dc.contributor.author |
Loumos, V |
en |
dc.contributor.author |
Stassinopoulos, G |
en |
dc.date.accessioned |
2014-03-01T01:16:08Z |
|
dc.date.available |
2014-03-01T01:16:08Z |
|
dc.date.issued |
2001 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/13933 |
|
dc.relation.uri |
http://www.scopus.com/inward/record.url?eid=2-s2.0-4944245077&partnerID=40&md5=4574ddb640e362f533fc1ffbf09227f9 |
en |
dc.relation.uri |
http://www.scopus.com/inward/record.url?eid=2-s2.0-4944245077&partnerID=40&md5=4574ddb640e362f533fc1ffbf09227f9 |
en |
dc.subject |
Computer Vision |
en |
dc.subject |
Texture Segmentation |
en |
dc.subject |
Wavelet Transforms |
en |
dc.subject.other |
Algorithms |
en |
dc.subject.other |
Cost effectiveness |
en |
dc.subject.other |
Fractals |
en |
dc.subject.other |
Image segmentation |
en |
dc.subject.other |
Real time systems |
en |
dc.subject.other |
Wavelet transforms |
en |
dc.subject.other |
Computational speed |
en |
dc.subject.other |
Fractal dimension |
en |
dc.subject.other |
Real-time applications |
en |
dc.subject.other |
Texture segmentation |
en |
dc.subject.other |
Computer vision |
en |
dc.title |
An evaluation of texture segmentation techniques for real-time computer vision applications |
en |
heal.type |
journalArticle |
en |
heal.publicationDate |
2001 |
en |
heal.abstract |
The emergence of new technologies, digital cameras, communications devices, cost effective processors, new control and computer vision systems provide new opportunities to substantially improve efficiency in various computer vision applications (CVAs). An important aspect of such application is the software module, which should be based on a robust texture segmentation technique. A lot of texture segmentation techniques are present in the literature. The content of this paper constitutes a detailed description of the state of the art techniques for texture segmentation as well as an evaluation of experimental research and results on the basis of selected algorithms suitable for real-time applications. |
en |
heal.publisher |
World Scientific and Engineering Academy and Society |
en |
heal.journalName |
Advances in Automation, Multimedia and Video Systems, and Modern Computer Science |
en |
dc.identifier.spage |
332 |
en |
dc.identifier.epage |
335 |
en |