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基于小波分析的红外乳腺图像去噪与增强的实验研究
Experimental study of infrared mammography de-noising and enhancing based on wavelet analysis
【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。
【Abstract】 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.
【Key words】 wavelet transform; infrared; mammography; image denoising; image enhancement;
- 【文献出处】 北京生物医学工程 ,Beijing Biomedical Engineering , 编辑部邮箱 ,2007年03期
- 【分类号】R318
- 【被引频次】5
- 【下载频次】112