@inproceedings {156,
	title = {Multi-scale tensor vector field active contour},
	booktitle = {IEEE Conference on Image Processing},
	year = {2012},
	abstract = {<p>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 initial contour and the object boundary. To tackle this challenge, the concept of a multi-scale tensor vector field (MTVF) active contour is introduced to further reduce noise sensitivity. Comparing the performance of MTVF with multi-scale gradient vector field and multi-scale vector field convolution demonstrates that MTVF is more resilient to high noise levels as well as significantly reducing computation time</p>
},
	keywords = {Active Contour, multi-scale active contour, Multi-scale tensor vector field, Segmentation, Tensor Vector Field},
	author = {A Kumar and A Wong and D A. Clausi and P Fieguth}
}
@inproceedings {187,
	title = {Tensor vector field based active contours},
	booktitle = {18th IEEE International Conference on Image Processing (ICIP 2011)},
	year = {2011},
	month = {09/2011},
	abstract = {<p>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.</p>
},
	keywords = {Active Contour, Segmentation, Snake, Tensor Vector Field, Vector Field Convolution},
	author = {A Kumar and A Wong and A Mishra and D A. Clausi and P Fieguth}
}
