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作 者:罗小刚[1] 黄茜[1] 彭承琳[1] 刘婷[1] 尹鹏[1] 文利[2] 高云华[2]
机构地区:[1]重庆大学医学电子及仪器研究所,重庆400030 [2]第三军医大学附属新桥医院,重庆400037
出 处:《重庆大学学报(自然科学版)》2009年第1期116-120,共5页Journal of Chongqing University
基 金:国家自然科学基金资助项目(30600157)
摘 要:为解决数字图像如左心室MRI图像存在着弱边缘、与周围组织之间的低对比度区域的特点,传统的Snake模型算法分割数字图像,出现变形曲线泄漏现象这一问题,提出一种改进的Balloons Snake模型—Water Balloons Snake图像分割算法。该算法利用数学形态学理论自动获取左心室数字MRI图像的重心以及边界形状变化允许空间,采用分水岭变换算法获取图像轮廓内壁分水岭线,并以此作为Snake数字模型的初始样条曲线进行进一步轮廓捕获。以小香猪左室加标记MRI数字医学图像作为应用研究对象,对比了几种模型的不同处理结果。实验表明WaterBalloons Snake模型算法比经典Snake模型或Balloons Snake模型算法能够更有效地处理变形曲线泄漏问题,并且具有较快的收敛速度。Due to weak edges and low contrast areas in digital images, such as a left ventricle in Magnetic Resonance Imaging (MRI) images, a deformation curve may leak from the outer boundary when images are segmented using the traditional snake model. An improved algorithm based on the water balloons snake model is introduced to solve this problem. Firstly, the barycenter and the boundary shape area of the left ventricle in a digital MRI image are obtained through mathematical morphology. The left ventricular watershed line is obtained next using a watershed transform algorithm, which is taken as the initial deformation curve in a balloon snake model to capture the contour. Different snake models are tested to digitally-tagged MRI images of left ventricles of small pigs. Contrast results indicate that the water balloons snake model can solve the leakage problem in traditional snake and balloon snake models. In addition, the processing speed is improved significantly.
关 键 词:BALLOON Snake模型算法 分水岭算法 数字图像处理 图像分割
分 类 号:TP391.4[自动化与计算机技术—计算机应用技术]
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