Medical Image Processing by Denoising and Contour Extraction

摘要：

This paper proposes a new algorithm of medical image denoising and contour extraction that can be used in image processing such as medical image reconstruction,image enhancement,image smoothing,feature extraction and image analysis.The algorithm consists of two parts.First,combining median filtering with wavelet transform to enhance and denoise image.Second,canny edge detection and contour tracing are repeatedly applied to extract the continuous contour lines of image.The method is validated through experiments on real images.The results show that the algorithm achieves good effects, can deals with low quality or marginal vague images which have high spatial redundancy,low contrast and biggish noise,and has a potential of certain practical use.

关键词： Image signal processing image enhancement contour line extraction wavelet transform median filtering.

作者: Yu Wang Jinjin Zheng Hongjun Zhou Lianguan Shen

作者单位: Precise Machinery and Precise Instrument Department University of Science and Technology of China He National Synchrotron Radiation Laboratory Hefei,China 230029

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 618-623

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）