Improving edge detection and watershed segmentation with anisotropic diffusion and morphological levellings

Karantzalos, K; Argialas, D

dc.contributor.author	Karantzalos, K	en
dc.contributor.author	Argialas, D	en
dc.date.accessioned	2014-03-01T01:24:30Z
dc.date.available	2014-03-01T01:24:30Z
dc.date.issued	2006	en
dc.identifier.issn	01431161	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17293
dc.subject	Anisotropic Diffusion	en
dc.subject	Edge Detection	en
dc.subject	Feature Extraction	en
dc.subject	Object Detection	en
dc.subject	Olive Tree	en
dc.subject	Remote Sensing	en
dc.subject	Scale Space	en
dc.subject	Watershed Segmentation	en
dc.subject.other	Anisotropy	en
dc.subject.other	Edge detection	en
dc.subject.other	Image processing	en
dc.subject.other	Image segmentation	en
dc.subject.other	Morphology	en
dc.subject.other	Remote sensing	en
dc.subject.other	Anisotropic diffusion	en
dc.subject.other	Edge preserving smoothing	en
dc.subject.other	Image simplification	en
dc.subject.other	Morphological levellings	en
dc.subject.other	Watershed segmentation	en
dc.subject.other	Watersheds	en
dc.subject.other	detection method	en
dc.subject.other	diffusion	en
dc.subject.other	image processing	en
dc.subject.other	leveling	en
dc.subject.other	remote sensing	en
dc.subject.other	segmentation	en
dc.subject.other	smoothing	en
dc.subject.other	tree	en
dc.subject.other	watershed	en
dc.title	Improving edge detection and watershed segmentation with anisotropic diffusion and morphological levellings	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/01431160600944010	en
heal.identifier.secondary	http://dx.doi.org/10.1080/01431160600944010	en
heal.publicationDate	2006	en
heal.abstract	Edge preserving smoothing and image simplification is of fundamental importance in a variety of remote sensing applications during feature extraction and object detection procedures. The construction of a pre-processing filtering tool for edge detection and segmentation tasks is still an open matter. Towards this end, this paper brings together two advanced nonlinear scale space representations, anisotropic diffusion filtering and morphological levellings, forming a processing scheme by their combination. The proposed scheme was applied to edge detection and watershed segmentation tasks. The experimental results showed that the developed scheme generated an effective pre-processing tool for automatic olive tree detection and solving watershed over-segmentation problems.	en
heal.journalName	International Journal of Remote Sensing	en
dc.identifier.doi	10.1080/01431160600944010	en
dc.identifier.volume	27	en
dc.identifier.issue	24	en
dc.identifier.spage	5427	en
dc.identifier.epage	5434	en