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超声图像中目标的边界提取
引用本文:刘艳丽,刘奇.超声图像中目标的边界提取[J].中国测试技术,2008,34(6).
作者姓名:刘艳丽  刘奇
作者单位:四川大学电气信息学院,四川,成都,610065
摘    要:由于对比度低和噪声强等特点,超声图像分割很难达到满意的效果,针对这一状况,将Gabor滤波器结合形态学操作应用到超声图像中目标的边界提取。首先对原始图像做预处理,去噪增强,然后再利用Gabor滤波进行目标区域特征提取,再经形态学腐蚀、膨胀等操作平滑图像,最后由sobel算子提取最终的边界图像。该法的关键之处在于Gabor滤波器尺度参数的选择,通过实验和分析得出了一组最佳尺度参数,取得了良好的分割效果,同时也验证了这一方法在超声图像分割中的实用性。

关 键 词:超声图像  Gabor滤波器  形态学操作  尺度参数  边界提取

Target edge extraction for ultrasonic images
LIU Yan-li,LIU Qi.Target edge extraction for ultrasonic images[J].China Measurement Technology,2008,34(6).
Authors:LIU Yan-li  LIU Qi
Affiliation:LIU Yan-li,LIU Qi(School of Electrical Engineering , Information,Sichuan University,Chengdu 610065,China)
Abstract:Due to poor contrast and severe speckle noise,it is difficult to obtain satisfy segmentation for ultrasonic images.To solve this problem,the target edges are extracted for ultrasonic images with Gabor filter combined with morphological operation.Firstly,the original image is preprocessed for the purpose of noise suppression and image enhancement,then the Gabor filter is applied to extract the feature of the region connected with the border of the targets,after the region has been smoothed by morphology oper...
Keywords:Ultrasonic images  Gabor filter  Morphology operation  Scale parameter  Edge extraction  
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