[1]王洪元,周则明,王平安①,等.一种改进Snake模型的边缘检测算法[J].南京理工大学学报(自然科学版),2003,(04):395-399.
 WangHongyuan ZhouZeming WangPingan XiaDeshen.An Improved Snake Model for Image Edge Detection[J].Journal of Nanjing University of Science and Technology,2003,(04):395-399.
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一种改进Snake模型的边缘检测算法()
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2003年04期
页码:
395-399
栏目:
出版日期:
2003-08-30

文章信息/Info

Title:
An Improved Snake Model for Image Edge Detection
作者:
王洪元周则明王平安①夏德深
南京理工大学计算机科学与技术系, 南京210094
① 香港中文大学计算机系, 香港, 沙田
Author(s):
WangHongyuan ZhouZeming WangPing’an ① XiaDeshen
Department of Computer Science and Technology,NUST,NanJing 21009 4)
关键词:
Snake 图像处理 主动轮廓 边缘检测 心脏MRI 图像
Keywords:
Snake image processing active contour edge detection cardiac MRI image
分类号:
TP391.41
摘要:
在心脏核磁共振图像分割研究中 ,针对传统的Snake模型存在的问题 ,提出改进的Snake模型及其二阶段贪心优化算法。对人工合成图像和真实心脏MRI图像实验表明 ,改进后的模型具有如下特点 :内部能量项物理意义直观清晰 ,且易于实现 ;对初始轮廓不太敏感 ,收敛范围扩大 ,且收敛速度提高 ,具有实际应用价值
Abstract:
In order to overcome some shortcomings and some limitations of Kass’ s Snake model ( conventional Snake model) , an improved Snake model and a two-phases Greedy optimization algo rithm are proposed. Compared with Kass’ s Snake model, the improvedmodel has the following advan tages: internal energy formulations being conceptually simple and rapidly convergent; not being so sen sit ive to original snake contour; convergence region being enlarged and convergence speed being devel oped. Results of edge detect ion for the artificial image as well as the cardiac MRI image show the eff i cacy of the improved Snake model.

参考文献/References:

1  KassM, Witkin M, Terzopoulos D. Snakes: active contour models[ J] . International Journal of Computer Vision, 1987, 4: 321~ 331.
2  James S D, Nicholas A. Medical image analysis progress over two decades and the challenges ahead[ J] .IEEE Trans PAMI, 2000, 22( 1) : 85~ 106.
3  Eviatar H, Somorjai R L. A fast simple active contour algorithm for biomedical images [ J] . Pattern Recognition Letter, 1996( 17) : 969~ 974.
4  Davison N E,Eviatar H, Somorjai R L. Snakes simplified[ J] . Pattern Recognition, 2000(33) :1 651~ 1 664.
5  Williams D J, Shab M. A fast algorithm for active contours and curvature estimation[ J] . CVGIP: Image Understanding, 1992, 55( 1) : 14~ 26.

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备注/Memo

备注/Memo:
香港特区政府研究资助局资助项目 (CUHK/4 180 /0 1E);江苏省教育厅自然科学研究计划项目 ( 0 1KJB52 0 0 0 4)
王洪元 男 43 岁  副教授
更新日期/Last Update: 2013-03-17