摘要
将小波的多分辨率分析技术运用到红外乳腺图像的降噪增强处理以改善图像质量。运用不同的阈值量化策略实现图像降噪。再引入增益因子,采用基于小波变换的增强算法突出肿块阴影。通过实验将直接增强和去噪后再增强的图像进行对比可以得到清晰度更高的图像。经处理后的乳腺图像,为临床提供了更细致明确的信息,有助于提高诊断水平。
Wavelet multiresolution analysis technique was used in the process of Infrared Mammography de-noising and enhancing to improve image quality. Images were denoised by using several methods of thresholding. The enhancement algorithm based on wavelet transform could extrude mass by adding the plus factor. Images of direct enhancement and enhanced images after denoising were compared in order to find more clear images by experiment. The processed mammography might provide specific information for clinic, and improve the level for diagnosing the state of an illness.
出处
《北京生物医学工程》
2007年第3期229-232,共4页
Beijing Biomedical Engineering
基金
国家民委基金重点资助项目(MZY06002)资助
关键词
小波变换
红外乳腺图像
图像去噪
图像增强
wavelet transform
infrared
mammography
image denoising
image enhancement
