COUPLED CURVE EVOLUTION EQUATIONS FOR TERNARY IMAGES IN SIDESCAN-SONAR IMAGES GUIDED BY LAME CURVES FOR OBJECT RECOGNITION

被引：0

作者：

Lehmann, B. ^{[1
]}

Kraus, D. ^{[2
]}

Kummert, A. ^{[3
]}

机构：

[1] Atlas Elekt GmbH, Sebaldsbrucker Heerstr 235, D-28309 Bremen, Germany

[2] Univ Appl Sci, Inst Water Acoust Sonar Engn & Signal Theory, Bielefeld, Germany

[3] Univ Wuppertal, Fac Elect Informat & Media Engn, Wuppertal, Germany

来源：

2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012) | 2012年

关键词：

Active contours; image segmentation; level set; prior knowledge; synthetic aperture sonar;

D O I：

暂无

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

This paper proposes a new level set segmentation method which is guided by a parametric prior force based on Lame curves. The use of prior knowledge is advantageous in order to improve the segmentation results in terms of matching expected object types because one can in general state that for different applications some shapes are more likely than others. By avoiding complex shape training processes the level set idea is extended with a parametric prior shape which forces the level set evolution to propagate towards the desired objects by not overpowering the image properties. Also a cross talk evolution is discussed for ternary images to handle correlations between adjacent or correlated objects.

引用

页码：2553 / 2556

页数：4