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Relative Fuzzy Connected Interactive Image Segmentation
Algorithm Based on Redundant Wavelet Transform |
Tian Chun-na; Gao Xin-bo |
School of Electronic Engineering, Xidian University, Xi’an 710071, China |
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Abstract To improve the performance of the image segmentation algorithm, a relative fuzzy connected interactive segmentation algorithm is presented based on Redundant Wavelet Transform (RWT). In comparison with the original scale-based algorithm, the proposed one, with almost the same accuracy, accelerates the segmentation speed by tens times. And it is insensitive to different noise models. In addition, a study of the influence of different redundant wavelet decomposition scales is also included. The experimental results illustrate that the proposed algorithm can obtain the object regions of interest from medical as well as man-made noisy images quickly and reliably with only a little interaction.
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Received: 15 March 2005
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