Comparative image filter-ing using monotonic morphological operators

Bibliographic Details
Title:	Comparative image filter-ing using monotonic morphological operators
Authors:	Aleksey Rubis, Maxim Lebedev, Yuri Vizilter, Oleg Vygolov, Sergey Zheltov
Source:	Компьютерная оптика, Vol 42, Iss 2, Pp 306-311 (2018)
Publisher Information:	Samara National Research University, 2018.
Publication Year:	2018
Collection:	LCC:Information theory LCC:Optics. Light
Subject Terms:	image morphology, image filtering, background normalization, mathematical morphology, Information theory, Q350-390, Optics. Light, QC350-467
More Details:	In a previous work, we proposed a Comparative Morphology (CM) construction scheme that generalized Pytyev's Morphological Image Analysis approach onto a wider range of practical image comparison applications. Within a Guided Contrasting framework, a filtering procedure and a related change detection algorithm were developed. In this work, we propose a class of CM filtering in which Mathematical Morphology operators introduced by Serra are used as smoothing operators that offer monotonically non-increasing (non-decreasing) filtering, in contrast to linear diffusion filtering and non-linear median filtering. The results of experiments on change detection based on the new CM filtering are discussed in comparison with other morphological procedures.
Document Type:	article
File Description:	electronic resource
Language:	English Russian
ISSN:	2412-6179 0134-2452
Relation:	http://computeroptics.smr.ru/KO/PDF/KO42-2/420217.pdf; https://doaj.org/toc/0134-2452; https://doaj.org/toc/2412-6179
DOI:	10.18287/2412-6179-2018-42-2-306-311
Access URL:	https://doaj.org/article/a4364bf318684911bf36e7f4d64ed020
Accession Number:	edsdoj.4364bf318684911bf36e7f4d64ed020
Database:	Directory of Open Access Journals

More Details
ISSN:	24126179 01342452
DOI:	10.18287/2412-6179-2018-42-2-306-311
Published in:	Компьютерная оптика
Language:	English Russian