Comparative image filtering using monotonic morphological operators

Автор: Rubis Aleksey Yurievich, Lebedev Maxim Alekseevich, Vizilter Yuri Valentinovich, Vygolov Oleg Viacheslavovich, Zheltov Sergey Yuryevich

Журнал: Компьютерная оптика @computer-optics

Рубрика: Обработка изображений, распознавание образов

Статья в выпуске: 2 т.42, 2018 года.

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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.

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Image filtering, background normalization, mathematical morphology, image morphology

Короткий адрес: https://sciup.org/140228731

IDR: 140228731   |   DOI: 10.18287/2412-6179-2018-42-2-306-311

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