Medical image segmentation using Snake and multi-scale analysis algorithm

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (18): 207-209.

• 图形、图像、模式识别 • Previous Articles Next Articles

Medical image segmentation using Snake and multi-scale analysis algorithm

ZHANG Xiaojuan1，LIU Ji2，WANG Hao2，3，LIU Lingling2

1.School of Computer Science，Qinghai Normal University，Xining 810008，China
2.School of Medical Imaging，Tianjin Medical University，Tianjin 300070，China
3.Affiliated Hospital of Hebei University，Baoding，Hebei 071000，China

Received:1900-01-01 Revised:1900-01-01 Online:2011-06-21 Published:2011-06-21

Snake与多尺度分析的医学图像分割研究

张效娟1，刘技2，王昊2，3，刘玲玲2

1.青海师范大学计算机学院，西宁 810008
2.天津医科大学医学影像学院，天津 300070
3.河北大学附属医院，河北保定 071000

Abstract

Abstract: In order to improve the segmentation accuracy，Snake and multi-scale analysis method are combined to segment medical image.This paper makes a rough contour of the image content according to the prior knowledge，processes the image with multi-scale enhancement，and then extracts the contour using snake algorithm in different scales，in this situation the curve is revised in the convergence process，finally extracts the satisfactory contour by optimizing it in different scales.The experimental results dictate the feasibility of the algorithm.In medical image segmentation accuracy，this algorithm is superior to the traditional Snake model.

Key words: medical image segmentation, Snake model, multi-scale enhancement

摘要： 为提高分割精度，提出Snake与多尺度分析相结合的医学图像分割方法。根据先验知识给定图像一个初始的粗略轮廓，然后对图像进行多尺度增强，在不同的尺度下应用Snake算法进行轮廓提取，相当于在曲线的收敛过程中进行了修正，从而使得轮廓在不同的尺度中逐渐优化，分离出精确的轮廓。实验结果表明，该方法是有效的，对医学图像分割的精度优于传统的Snake模型。

关键词: 医学图像分割, Snake模型, 多尺度增强

ZHANG Xiaojuan1，LIU Ji2，WANG Hao2，3，LIU Lingling2. Medical image segmentation using Snake and multi-scale analysis algorithm[J]. Computer Engineering and Applications, 2011, 47(18): 207-209.

张效娟1，刘技2，王昊2，3，刘玲玲2. Snake与多尺度分析的医学图像分割研究[J]. 计算机工程与应用, 2011, 47(18): 207-209.

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Medical image segmentation using Snake and multi-scale analysis algorithm

Snake与多尺度分析的医学图像分割研究

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