Shape prior integrated in an automated 3D region growing method

被引：0

作者：

Rose, J-L. ^{[1
]}

Revol-Muller, Ch. ^{[1
]}

Almajdub, Mo. ^{[2
]}

Chereul, Em. ^{[1
,2
]}

Odet, Ch. ^{[1
]}

机构：

[1] Univ Lyon 1, CNRS, INSERM, UMR 5220,CREATIS,INSA Lyon,U630, F-69621 Villeurbanne, France

[2] ANIMAGE Rhone Alpes GENOPOLE, Bat CERMEP, F-69003 Lyon, France

来源：

2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7 | 2007年

关键词：

image processing; image segmentation;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We propose a new automated Region Growing method Integrating Shape Prior (RGISP). The aim of this work is to improve region growing segmentation by taking into account a reference model. Our algorithm is assessed on a synthesized image and compared with two other methods in order to point up the contribution of shape prior. It was also applied to segment in-vivo mu-CT images of mouse kidneys in the framework of small animal imaging. RGISP gives promising results and appears to be well adapted to satisfy small animal imaging constraints.

引用

页码：53 / +

页数：2

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