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JOURNALS // Computer Optics // Archive

Computer Optics, 2018 Volume 42, Issue 2, Pages 306–311 (Mi co508)

This article is cited in 6 papers

IMAGE PROCESSING, PATTERN RECOGNITION

Comparative image filter-ing using monotonic morphological operators

A. Yu. Rubis, M. A. Lebedev, Yu. V. Vizilter, O. V. Vygolov, S. Yu. Zheltov

Federal State Unitary Enterprise “State Research Institute of Aviation Systems” (FGUP “GosNIIAS”), Moscow, Russia

Abstract: 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.

Keywords: image morphology, image filtering, background normalization, mathematical morphology.

Received: 07.12.2017
Accepted: 28.02.2018

DOI: 10.18287/2412-6179-2018-42-2-306-311



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