Deep active contours using locally controlled distance vector flow

Authors: Parastoo Akbarimoghaddam, Atefeh Ziaei, Hamed Azarnoush

Publication date: 2022

 

Journal: Signal, Image and Video Processing

 

Publisher: Springer London

 

Description: Active contours model (ACM) has been extensively used in computer vision and image processing. In recent studies, convolutional neural networks (CNNs) have been combined with ACM replacing the user in the process of contour evolution and image segmentation to eliminate limitations associated with ACM dependence on energy functional parameters and initialization. However, prior studies did not aim for automatic initialization, which is addressed in this article. In addition to manual initialization, current methods are highly sensitive to the initial location and fail to delineate borders accurately. We propose a fully automatic image segmentation method to address problems of manual initialization, insufficient capture range, and poor convergence to boundaries, in addition to the problem of assignment of energy functional parameters. We train two CNNs, one of which generating ACM weighting parameters and …

 

Total citations: 7

 

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