Abstract
The objective of separating touching objects in an image is a very difficult task. The task is all the more difficult when the touching objects are healthy tissues and unhealthy tissues of lesions in human brain.
A gray level MR image may be considered as a topographic relief and thus Watershed segmentation is used. Watershed refers to a ridge that divides areas drained by different river systems. A catchment basin is interpreted as a geographical area draining into a river or reservoir. The concept of watershed and catchment basins are used for analyzing biological tissues.
An MR image segmentation method is developed using Distance and Watershed Transforms.
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Mitra, A., De, A., Bhattacharjee, A.K. (2015). MRI Skull Bone Lesion Segmentation Using Distance Based Watershed Segmentation. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 328. Springer, Cham. https://doi.org/10.1007/978-3-319-12012-6_28
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DOI: https://doi.org/10.1007/978-3-319-12012-6_28
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12011-9
Online ISBN: 978-3-319-12012-6
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