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弱边缘医学超声图像目标区域的自动定位与分割
引用本文:韦春荣,周永健,张灿龙.弱边缘医学超声图像目标区域的自动定位与分割[J].科学技术与工程,2009,9(3).
作者姓名:韦春荣  周永健  张灿龙
作者单位:1. 广西师范大学物理与电子工程学院,桂林,541004
2. 广西师范大学,校党委宣传部, 桂林 541004
3. 广西师范大学,计算机科学与信息工程学院, 桂林 541004
基金项目:广西教育厅科学研究项目 
摘    要:医学超声图像分割是图像处理中的一项关键技术.以胆结石超声图像为例,介绍一种新的弱边缘超声图像分割算法.首先采用基于直方图凹度分析的阈值分割方法确定Snake模型的初始蛇,再基于Snake模型结合贪婪算法对图像进行目标分割.实验结果表明该算法对弱边缘现象较为严重的医学超声图像进行目标分割时,定位准确,且分割效果良好.

关 键 词:超声图像分割  区域定位  直方图凹度分析  Snake模型

Automatic Locating and Segmenting Algorithm for Object Region of Ultrasound Images with Weak Contour
WEI Chun-rong,ZHOU Yong-jian,ZHANG Can-long.Automatic Locating and Segmenting Algorithm for Object Region of Ultrasound Images with Weak Contour[J].Science Technology and Engineering,2009,9(3).
Authors:WEI Chun-rong  ZHOU Yong-jian  ZHANG Can-long
Institution:College of Physics and Electronic Engineering;School of Political Science and Public Administration1;College of Computer Science and Information Engineering2;Guangxi Normal University;Guilin 541004;P.R.China
Abstract:Image segmentation is a key technology of image processing. Taking the gallstone ultrasound images as the example, a new segmenting algorithm for ultrasound images with weak contour was introduced. First, a primary snake nearby the object region contour is established with a threshold segmentation algorithm which is based on histogram concavity analysis, and then the edge of the gallstone is automatically detected based on the snake model and greedy algorithm. Experiment results show that the algorithm is a...
Keywords:ultrasonic image segmentation region localization histogram concavity analysis snake model  
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