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Centerline Extraction for Image Segmentation Using Gradient and Direction Vector Flow Active Contours

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DOI: 10.4236/jsip.2013.44052    3,015 Downloads   4,487 Views   Citations

ABSTRACT

In this paper, we propose a fast centerline extraction method to be used for gradient and direction vector flow of active contours. The gradient and direction vector flow is a recently reported active contour model capable of significantly improving the image segmentation performance especially for complex object shape, by seamlessly integrating gradient vector flow and prior directional information. Since the prior directional information is provided by manual line drawing, it can be inconvenient for inexperienced users who might have difficulty in finding the best place to draw the directional lines to achieve the best segmentation performance. This paper describes a method to overcome this problem by automatically extracting centerlines to guide the users for providing the right directional information. Experimental results on synthetic and real images demonstrate the feasibility of the proposed method.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

S. Zhang and J. Zhou, "Centerline Extraction for Image Segmentation Using Gradient and Direction Vector Flow Active Contours," Journal of Signal and Information Processing, Vol. 4 No. 4, 2013, pp. 407-413. doi: 10.4236/jsip.2013.44052.

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