A local region-based Chan–Vese model for image segmentation

In this paper, a new region-based active contour model, namely local region-based Chan–Vese (LRCV) model, is proposed for image segmentation. By considering the image local characteristics, the proposed model can effectively and efficiently segment images with intensity inhomogeneity. To reduce the...

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Bibliographic Details
Published in:	Pattern recognition Vol. 45; no. 7; pp. 2769 - 2779
Main Authors:	Liu, Shigang, Peng, Yali
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier Ltd 01-07-2012 Elsevier
Subjects:	Active contour model Applied sciences Computational efficiency Evolution Exact sciences and technology Image processing Image segmentation Information, signal and communications theory Level set Mathematical models Pattern recognition Robustness Segmentation Shape Signal processing Telecommunications and information theory Level set Active contour model Image segmentation Performance evaluation Heterogeneity Gaussian filtering Image processing Robustness Shape detection Edge detection Active contour
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