A novel active contour for medical image segmentation

IEICE Electronics Express

Hassan Ghassemian¹  Mahdi Saadatmand-Tarjzan¹ 

[1] School of Electrical and Computer Engineering, Tarbiat Modares University

关键词: active contours;    wavelet transform;    self-affine mapping system;    medical image segmentation;   

DOI  :  10.1587/elex.6.1683

学科分类：电子、光学、磁材料

来源: Denshi Jouhou Tsuushin Gakkai

【 摘 要 】

References(13)Cited-By(1)In this paper, a novel parametric active contour is proposed for image segmentation. It integrates the wavelet transform and self-affine mapping system to effectively compute the external force of parametric active contours. For this purpose, after smoothing the image by a Gaussian kernel, the wavelet coefficients are computed. Then, sub-forces of each wavelet scale were computed by using contractive self-affine maps. Finally, the total self-affine force field was obtained by superposition of these sub-forces. Experimental results demonstrated the superior performance of the proposed algorithm compared to a number of frequently-used active contours for medical images.

【 授权许可】

Unknown