Threshold Superposition in Morphological Image Analysis Systems

Maragos, P; Ziff, R

dc.contributor.author	Maragos, P	en
dc.contributor.author	Ziff, R	en
dc.date.accessioned	2014-03-01T01:39:56Z
dc.date.available	2014-03-01T01:39:56Z
dc.date.issued	1990	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/23024
dc.subject	Binary Image	en
dc.subject	Edge Detection	en
dc.subject	Image Analysis	en
dc.subject	Size Distribution	en
dc.subject	Vector Space	en
dc.title	Threshold Superposition in Morphological Image Analysis Systems	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/34.55110	en
heal.identifier.secondary	http://dx.doi.org/10.1109/34.55110	en
heal.publicationDate	1990	en
heal.abstract	It is shown that four composite morphological systems, namely morphological edge detection, peak/valley extraction, skeletonization, and shape-size distributions obey a weak linear superposition, called threshold-linear superposition. The output image signal or measurement from each system is shown to be the sum of outputs due to input binary images that result from thresholding the input gray-level image at all levels. These	en
heal.journalName	IEEE Transactions on Pattern Analysis and Machine Intelligence	en
dc.identifier.doi	10.1109/34.55110	en