Robust noise region-based active contour model via local similarity factor for image segmentation

Volume: 61, Pages: 104 - 119
Published: Jan 1, 2017
Abstract
Image segmentation using a region-based active contour model could present difficulties when its noise distribution is unknown. To overcome this problem, this paper proposes a novel region-based model for the segmentation of objects or structures in images by introducing a local similarity factor, which relies on the local spatial distance within a local window and local intensity difference to improve the segmentation results. By using this...
Paper Details
Title
Robust noise region-based active contour model via local similarity factor for image segmentation
Published Date
Jan 1, 2017
Volume
61
Pages
104 - 119
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