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.
Citation:
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.
References:
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