Deep Active Contours Using Locally Controlled Distance Vector Flow

Understand

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 active contours replacing the user in the process of contour evolution and image segmentation to eliminate limitations associated with ACM's dependence on parameters of the energy functional and initialization.
• However, prior works did not aim for automatic initialization which is addressed here.
• In addition to manual initialization, current methods are highly sensitive to initial location and fail to delineate borders accurately.