|Title||Tensor vector field based active contours|
|Publication Type||Conference Paper|
|Year of Publication||2011|
|Authors||Kumar, A., A. Wong, A. Mishra, D. A. Clausi, and P. Fieguth|
|Conference Name||18th IEEE International Conference on Image Processing (ICIP 2011)|
|Keywords||Active Contour, Segmentation, Snake, Tensor Vector Field, Vector Field Convolution|
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 this idea, a novel local tensor vector field approach is developed to adaptively account for these structural characteristics. Experimental results demonstrate that the proposed adaptive methodleads to more accurate segmentation.