Region-Based Level Set Model for Image Segmentation
2012 ◽
Vol 616-618
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pp. 2223-2228
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Keyword(s):
To reduce the impact of intensity inhomogeneity to image segmentation, a region-based level set (RBLS) model was proposed in this study. Its energy functional consists of four terms: local term, area term, length term and penalty term. The proposed model utilizes both global image information and local image information, and by using the local image information, the image with intensity inhomogeneity can be efficiently segmented. In addition, the global implementation of our RBLS model is introduced. It can detect all of the targets in the image. The experimental results showed that the proposed model can segment the image with intensity inhomogeneity efficiently, which is better than that of CV model.
2012 ◽
Vol 532-533
◽
pp. 1583-1587
2012 ◽
Vol 12
(02)
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pp. 1250015
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2014 ◽
Vol 2014
◽
pp. 1-24
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2014 ◽
Vol 2014
◽
pp. 1-13
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2019 ◽
Vol 15
(1)
◽
pp. 247