Texture Segmentation Using Active Contour Model with Edge Flow Vector

Authors

  • T. Boonnuk, S. Srisuk, and T. Sripramong Author

Keywords:

Texture segmentation, active contour model, gradient vector flow, edge flow vector

Abstract

We present a novel technique using active contour 
model (ACM) incorporating with edge flow for texture 
segmentation. The edge flow magnitude was used as an external force of active contour model. The active contour model will be guided by the edge flow vector. In our method, the gradient vector flow was replaced by the edge flow vector. Using edge flow vector, texture image can be segmented efficiently. The results of texture segmentation using active contour model with 
edge flow vector and gradient vector flow will be compared. It was observed that the active contour model with edge flow vector shown better texture segmentation capability. It should be pointed out that the texture image cannot be segmented using 
the traditional ACM and gradient vector flow. We also found that it is suitable to be applied in the MRI image segmentation. 

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Published

07.03.2015

How to Cite

Texture Segmentation Using Active Contour Model with Edge Flow Vector . (2015). International Journal of Information and Electronics Engineering, 5(2), 107-111. https://ijiee.org/index.php/ijiee/article/view/395