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.
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