Comparative image filter-ing using monotonic morphological operators
Rubis A.Yu., Lebedev M.A., Vizilter Yu.V., Vygolov O.V., Zheltov S.Yu.

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

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.

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

Rubis AYu, Lebedev MA, Vizilter YuV, Vygolov OV, Zheltov SYu. Comparative image filtering using monotonic morphological operators. Computer Optics 2018; 42(2): 306-311. DOI: 10.18287/2412-6179-2018-42-2-306-311.


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