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Sep 1, 2012 · This paper proposes a novel region-based active contour model (ACM) for image segmentation, which is robust to noise and intensity ...
This paper proposes a novel region-based active contour model (ACM) for image segmentation, which is robust to noise and intensity non-uniformity.
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This paper proposes a novel region-based active contour model (ACM) for image segmentation, which is robust to noise and intensity non-uniformity.
This paper proposes a novel region-based active contour model (ACM) for image segmentation, which is robust to noise and intensity non-uniformity.
Abstract— A novel region_based active contours model is proposed to deal with the images with intensity inhomogeneities and weak boundaries. For the.
Jan 6, 2021 · Active contour models (ACMs) are the most widely used method for image segmentation. However, global fitting ACMs cannot effectively segment ...
A robust patch-statistical active contour model for image segmentation. record by Zhihui Wei • A robust patch-statistical active contour model for image ...
A robust patch-statistical active contour model for image segmentation. This paper proposes a novel region-based active contour model (ACM) for image ...
A robust patch-statistical active contour model for image segmentation ... This paper proposes a novel region-based active contour model (ACM) for image ...
A novel hybrid region-based active contour model is presented to segment medical images with intensity inhomogeneity. The energy functional for the proposed ...