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基于双背景色阈值面积消去算法的B超图像轮廓提取
引用本文:杨惜琳,杜志江,孙立宁,申宝忠. 基于双背景色阈值面积消去算法的B超图像轮廓提取[J]. 计算机应用与软件, 2007, 24(6): 53-55,64
作者姓名:杨惜琳  杜志江  孙立宁  申宝忠
作者单位:哈尔滨工业大学机器人研究所,黑龙江,哈尔滨,150001;哈尔滨医科大学附属肿瘤医院,黑龙江,哈尔滨,150040
摘    要:本文提出一种基于双背景色阈值面积消去算法的半自动单像素轮廓提取方法.通过给定的阈值,此算法可自动在图像中寻找面积小于阈值的斑点和噪声点(即空穴)并将其消除,有效解决了B超图像处理中由于斑点及噪声引起的完整单像素轮廓提取困难的问题.并基于此方法,以心房图像为例讨论了针对二维B超图像的轮廓提取方案.

关 键 词:B超  轮廓提取  图像处理  阈值面积消去
修稿时间:2005-04-08

CONTOUR EXTRACTION OF B MODEL ULTRASONIC IMAGES BASED ON THRESHOLD AREA ERASION ALGORITHM ON TWO COLORS BACKGROUND
Yang Xilin,Du Zhijiang,Sun Lining,Shen Baozhong. CONTOUR EXTRACTION OF B MODEL ULTRASONIC IMAGES BASED ON THRESHOLD AREA ERASION ALGORITHM ON TWO COLORS BACKGROUND[J]. Computer Applications and Software, 2007, 24(6): 53-55,64
Authors:Yang Xilin  Du Zhijiang  Sun Lining  Shen Baozhong
Affiliation:1. Robotics Institute of Harbin Institute of Technology, Harbin 150001, Heilongjiang, China; 2. The tumour hospital of harbin medical university, Harbin 150040, Heklongjiang, China
Abstract:This article describes a novel approach that is based on Threshold Area Erasion Algorithm on two colors background to the semiautomatic contour extraction of ultrasound images. The operator should provide a threshold exactly at the beginning, then the algorithm developed in this article can find out all cavities whose areas are less than given threshold and erase them. Consequently,the problems can be solved well that it is difficult to extract single pixel contour because of speckles and noise of B model ultrasound images. Meanwhile,the scheme of contour extraction for atria images is discussed based on this algorithm.
Keywords:B Model Ultrasound Contour Extraction Image Processing Threshold Area Erasion
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