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Two major challenges faced in active contours are poor capture range and high sensitivity towards noise. Recently, the concept of tensor vector convolution (TVF) was introduced and shown to be promising in handling these challenges. However, in the presence of high noise levels, TVF may have difficulty in converging to the desired object boundary, particularly if the distance is great between the...
Among the main limitations of active contours are their high noise sensitivity and poor capture range from the target object. One of the most promising approaches for addressing these limitations is the concept of Vector Field Convolution (VFC). However, due to its isotropic vector field kernel, VFC does not take full advantage of the underlying image structural characteristics. By specifically addressing...
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