Non-rigid motion estimation based on fuzzy models

被引：0
|
作者：
Morales, J [1 ]
Verdú, R [1 ]
Berenguer, R [1 ]
Weruaga, L [1 ]
机构：
[1] Univ Politecn Cartagena, E-30202 Cartagena, Spain
来源：
DSP 2002: 14TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING PROCEEDINGS, VOLS 1 AND 2 | 2002年
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Image matching of deformable structures has captured great attention in image processing, and specially in the medical field. This paper proposes a method that faces the ill-posed nature of this problem, by using a cluster-sized similarity cost function, the ambiguity in each similarity map is described by a fuzzy parametric model, and, finally, a spatially non-uniform fuzzy interpolation is used to translate the parametric info into a set of matching field vectors. The method obtains the spatial matching between the two images in a global spatial extent and with sub-pixel accuracy. Results of the method on real images and high non-rigid artificial deformation proves the validity of the approach. Its extension to a volumetric approach is also suggested.
引用
收藏
页码：559 / 562
页数：4
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