Loading [a11y]/accessibility-menu.js
Image Segmentation Using Curve Evolution and Anisotropic Diffusion: An Integrated Approach | IEEE Conference Publication | IEEE Xplore

Image Segmentation Using Curve Evolution and Anisotropic Diffusion: An Integrated Approach


Abstract:

In this paper, a new model is proposed for image segmentation that integrates the curve evolution and anisotropic diffusion methods. The curve evolution method, utilizing...Show More

Abstract:

In this paper, a new model is proposed for image segmentation that integrates the curve evolution and anisotropic diffusion methods. The curve evolution method, utilizing both gradient and region information, segments an image into multiple regions. During the evolution of the curve, anisotropic diffusion is adaptively applied to the image to remove noise while preserving boundary information. Coupled partial differential equations (PDE’s) are used to implement the method. Experimental results show that the proposed model is successful for complex images with high noise.
Date of Conference: 14-14 December 2005
Date Added to IEEE Xplore: 03 January 2006
Print ISBN:0-7695-2489-3
Conference Location: Irvine, CA, USA

References

References is not available for this document.