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: 1,648
Загрузки: 184
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/
Вернуться к содержанию тома
© 2026 The Author(s). This is an open access article distributed under the terms of the
Creative Commons Attribution License https://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This permission does not cover any third party copyrighted material which may appear in the work requested.
Disclaimer: The Publisher and/or the editor(s) are not responsible for the statements, opinions, and data contained in any published works. These are solely the views of the individual author(s) and contributor(s). The Publisher and/or the editor(s) disclaim any liability for injury to individuals or property arising from the ideas, methods, instructions, or products mentioned in the content.
