MRI skull bone lesion segmentation using Distance based Watershed segmentation

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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 Advances in Intelligent Systems and Computing (Vol. 328, pp. 255–261). Springer Verlag. https://doi.org/10.1007/978-3-319-12012-6_28

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