Abstract
In light of the fuzziness of craniocerebrum MRI image and the requirement in practical application, an improved watershed algorithm is proposed. In consideration of the structure information of image, the valley-bottom value produced by noise is very small. However, the minimum valley-bottom of each area will have a very big dynamic value corresponding to real area, which is close to the valley-bottom dynamic value when there is no noise. Hence, the valley-bottom produced by noise can be filtered, thusly effectively restraining the over-segmentation, provided that a threshold is simply given. Experimental results show that the algorithm can quickly and accurately obtain the segmentation result of medical image, possessing higher noise-resistant capability.
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Wang, M. (2012). Application of an Improved Watershed Algorithm in Craniocerebrum MRI Image. In: Hou, Z. (eds) Measuring Technology and Mechatronics Automation in Electrical Engineering. Lecture Notes in Electrical Engineering, vol 135. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-2185-6_13
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DOI: https://doi.org/10.1007/978-1-4614-2185-6_13
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