摘要
超声图像利用不同组织和局部细节的不同回声信号强度和分布来捕捉重要的医学病变信息,但超声图像在形成过程中产生的斑点噪声使得超声图像质量较差,给以后的图像特征提取和识别、病情诊断及定量分析造成不利影响。文中在传统双边滤波既能去噪又能保持图像边缘信息性质的基础上,对传统双边滤波的灰度权系数部分进行了改进,使其局部自适应。实验结果表明了该算法的有效性。
Utilizing the echoic intension and distribution of different organizations and local details,ultrasonic catches the important medical pathological changes.However,ultrasonic image may be contaminated by the speckle noise in its forming process,which degrades image quality and conceale some details.This is disadvantagous to image segmentation,character extraction and image recognition disease diagnosis and quantitative analysis.The traditional bilateral filter can denoising and keep the edge information of the image,improve the grey weighting efficient part of the traditional bilateral filtering,and make its local adaptive.The experimental results show that the algorithm is effective.
出处
《江南大学学报（自然科学版）》
CAS
2010年第2期169-172,共4页
Joural of Jiangnan University (Natural Science Edition)
基金
江苏省高校自然科学研究项目(06KJD520048)
关键词
超声图像
双边滤波
自适应
去噪
ultrasonic image
bilateral filter
adaptive
denoising
