Watershed Algorithm for Medical Image Segmentation Based on Morphology and Total Variation Model

作者: Yingbo Liang , Jian Fu

DOI: 10.1142/S0218001419540193

关键词:

摘要: The traditional watershed algorithm has the limitation of false mark in medical image segmentation, which causes over-segmentation and images to be contaminated by noise possibly during acquisition...

参考文章(10)
Muhammad Kaleem, M. Sanaullah, M. Ayyaz Hussain, M. Arfan Jaffar, Tae-Sun Choi, Segmentation of Brain Tumor Tissue Using Marker Controlled Watershed Transform Method international multi-topic conference. pp. 222- 227 ,(2012) , 10.1007/978-3-642-28962-0_22
Marcin Ciecholewski, Automated coronal hole segmentation from Solar EUV Images using the watershed transform Journal of Visual Communication and Image Representation. ,vol. 33, pp. 203- 218 ,(2015) , 10.1016/J.JVCIR.2015.09.015
N. Young, A.N. Evans, Median centred difference gradient operator and its application in watershed segmentation Electronics Letters. ,vol. 47, pp. 178- 180 ,(2011) , 10.1049/EL.2010.3294
Wenli Cai, June-Goo Lee, M E Zalis, H Yoshida, Mosaic Decomposition: An Electronic Cleansing Method for Inhomogeneously Tagged Regions in Noncathartic CT Colonography IEEE Transactions on Medical Imaging. ,vol. 30, pp. 559- 574 ,(2011) , 10.1109/TMI.2010.2087389
L. Vincent, P. Soille, Watersheds in digital spaces: an efficient algorithm based on immersion simulations IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 13, pp. 583- 598 ,(1991) , 10.1109/34.87344
Jingqiu Wang, Panpan Yao, Wanlong Liu, Xiaolei Wang, A Hybrid Method for the Segmentation of a Ferrograph Image Using Marker-Controlled Watershed and Grey Clustering Tribology Transactions. ,vol. 59, pp. 513- 521 ,(2016) , 10.1080/10402004.2015.1091534
Nader Mahmoud, Óscar G. Grasa, Stéphane A. Nicolau, Christophe Doignon, Luc Soler, Jacques Marescaux, J. M. M. Montiel, On-patient see-through augmented reality based on visual SLAM. International Journal of Computer Assisted Radiology and Surgery. ,vol. 12, pp. 1- 11 ,(2017) , 10.1007/S11548-016-1444-X
Goo‐Rak Kwon, Dibash Basukala, Sang‐Woong Lee, Kun Ho Lee, Moonsoo Kang, None, Brain image segmentation using a combination of expectation-maximization algorithm and watershed transform International Journal of Imaging Systems and Technology. ,vol. 26, pp. 225- 232 ,(2016) , 10.1002/IMA.22181
Chuanxian Jiang, Zhiping Li, Xiaohui Chen, Zejun Zhang, Yeqing Yi, Segmentation of the Synthetic Aperture Radar Image Using the Watershed Transformation and Region Merging Technique International Journal of Smart Home. ,vol. 10, pp. 93- 102 ,(2016) , 10.14257/IJSH.2016.10.9.09
C. C. Benson, V. Deepa, V. L. Lajish, Kumar Rajamani, Brain tumor segmentation from MR brain images using improved fuzzy c-means clustering and watershed algorithm advances in computing and communications. pp. 187- 192 ,(2016) , 10.1109/ICACCI.2016.7732045