Image analysis of soil micromorphology: Feature extraction, segmentation, and quality inference

Maragos, P; Sofou, A; Stamou, GB; Tzouvaras, V; Papatheodorou, E; Stamou, GP

dc.contributor.author	Maragos, P	en
dc.contributor.author	Sofou, A	en
dc.contributor.author	Stamou, GB	en
dc.contributor.author	Tzouvaras, V	en
dc.contributor.author	Papatheodorou, E	en
dc.contributor.author	Stamou, GP	en
dc.date.accessioned	2014-03-01T01:20:36Z
dc.date.available	2014-03-01T01:20:36Z
dc.date.issued	2004	en
dc.identifier.issn	1110-8657	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15981
dc.subject	Geometric feature extraction	en
dc.subject	Morphological segmentation	en
dc.subject	Multiscale texture analysis	en
dc.subject	Neurofuzzy quality inference	en
dc.subject	Soilsection image analysis	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Ecosystems	en
dc.subject.other	Feature extraction	en
dc.subject.other	Fuzzy sets	en
dc.subject.other	Image quality	en
dc.subject.other	Image segmentation	en
dc.subject.other	Morphology	en
dc.subject.other	Geometric feature extraction	en
dc.subject.other	Morphological segmentation	en
dc.subject.other	Multiscale texture analysis	en
dc.subject.other	soilsection image analysis	en
dc.subject.other	Image analysis	en
dc.title	Image analysis of soil micromorphology: Feature extraction, segmentation, and quality inference	en
heal.type	journalArticle	en
heal.identifier.primary	10.1155/S1110865704402054	en
heal.identifier.secondary	http://dx.doi.org/10.1155/S1110865704402054	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	We present an automated system that we have developed for estimation of the bioecological quality of soils using various image analysis methodologies. Its goal is to analyze soilsection images, extract features related to their micromorphology, and relate the visual features to various degrees of soil fertility inferred from biochemical characteristics of the soil. The image methodologies used range from low-level image processing tasks, such as nonlinear enhancement, multiscale analysis, geometric feature detection, and size distributions, to object-oriented analysis, such as segmentation, region texture, and shape analysis.	en
heal.publisher	HINDAWI PUBLISHING CORPORATION	en
heal.journalName	Eurasip Journal on Applied Signal Processing	en
dc.identifier.doi	10.1155/S1110865704402054	en
dc.identifier.isi	ISI:000223382900010	en
dc.identifier.volume	2004	en
dc.identifier.issue	6	en
dc.identifier.spage	902	en
dc.identifier.epage	912	en