Scaling Based Active Contour Model in Grayscale Images
نویسندگان
چکیده
Structures that can detect the shapes in images in a flexible manner are widely used today. Active contour model, which is one of these structures, is an important model. This model aims to surround the shape with points and to enable these points to fit into the shape. However, since Active Contour Model contains energy minimization, it requires long working time. Scaling based model developed in the present study proposed suggestions to solve speed problem of active contour model. Furthermore, this method allows working on the shape both outwardly (enlargement) and inwardly (reduction). Using the proposed model, conventional active contour model and developed (improved) active contour model (Gradient Vector Flow GVF) were compared in terms of speed and the results were presented. Keywords— Active Contour, Scaling, Gradient Vector Flow, Level Set, Snakes
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