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Materials, Methods & Technologies, Volume 16, 2022

MODIFIED WATERSHED APPROACH FOR SEGMENTATION OF COMPLEX OPTICAL COHERENCE TOMOGRAPHIC IMAGES
Maryam Viqar, Violeta Madjarova, Elena Stoykova
Страницы: 180-188
Опубликовано: 16 Nov 2022
Просмотры: 1,734
Загрузки: 190
Citations: 2 (Google Scholar)
Citations: 1 (OpenAlex)
Аннотация: Watershed segmentation method has been used in various applications. But many a times, due to its over-segmentation attributes, it underperforms in several tasks where noise is a dominant source. In this study, Optical Coherence Tomography images have been acquired, and segmentation has been performed to analyse the different regions of fluid filled sacs in a lemon. A modified watershed algorithm has been proposed which gives promising results for segmentation of internal lemon structures.
Ключевые слова: watershed, segmentation, optical coherence tomography, hann windowing
Цитировать эту статью: Maryam Viqar, Violeta Madjarova, Elena Stoykova. MODIFIED WATERSHED APPROACH FOR SEGMENTATION OF COMPLEX OPTICAL COHERENCE TOMOGRAPHIC IMAGES. Journal of International Scientific Publications: Materials, Methods & Technologies 16, 180-188 (2022). https://www.scientific-publications.net/en/article/1002520/
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