Medical Image Processing Based on Wavelet Characteristics and Edge Blur Detection_Journal of Biomedical Engineering

Authors：

ZHUBaihui ,  WANZhiping

Xinhua College of Sun Yat-Sen University, Guangzhou 510520, China;

Corresponding author：

WANZhiping, Email: wzp888_0@126.com

Keywords：

blurred edge detection; noise reduction; wavelet transform; image processing

DOI：

10.7507/1001-5515.20140091

Video：

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Abstract Full text Figures/Tables Video References Cited by

To solve the problems of noise interference and edge signal weakness for the existing medical image, we used two-dimensional wavelet transform to process medical images. Combined the directivity of the image edges and the correlation of the wavelet coefficients, we proposed a medical image processing algorithm based on wavelet characteristics and edge blur detection. This algorithm improved noise reduction capabilities and the edge effect due to wavelet transformation and edge blur detection. The experimental results showed that directional correlation improved edge based on wavelet transform fuzzy algorithm could effectively reduce the noise signal in the medical image and save the image edge signal. It has the advantage of the high-definition and de-noising ability.

Citation： ZHUBaihui, WANZhiping. Medical Image Processing Based on Wavelet Characteristics and Edge Blur Detection. Journal of Biomedical Engineering, 2014, 31(3): 493-498. doi: 10.7507/1001-5515.20140091 Copy

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1. CHAIRA T. A rank ordered filter for medical image edge enhancement and detection using intuitionistic fuzzy set[J].Applied Soft Computing, 2012,12(4):1259-1266.
2. SOMKANTHA K, THEERA-UMPON N, AUEPHANWIRIYAKUL S. Boundary detection in medical images using edge following algorithm based on intensity gradient and texture gradient features[J]. IEEE Trans Biomed Eng, 2011, 58(3):567-573.
3. HAN X H, CHEN Y W. A robust method based on ICA and mixture sparsity for edge detection in medical images[J]. Signal Image and Video Processing, 2011, 5(1):39-47.
4. 徐艳蕾,赵继印,李敏,等.基于顺序形态学的医学图像插值算法的研究[J].电子学报,2010, 38(5):1002-1007.
5. 袁野,欧宗瑛.基于小波变换和模糊算法医学图像边缘检测算法[J].大连理工大学学报,2002, 42(4):502-507.
6. 尤建洁,周则明,王平安, 等.基于模拟退火的简化Snake弱边界医学图像分割[J].中国图象图形学报,2004, 9(1):11-17.
7. DU K, PENG L. New algorithms for preserving edges in low-bit-rate wavelet-based image compression[J]. Wiley-blackwell, 2012,7(6):539-545.
8. ZHANG L L,ZHAO Y J,DONG L Q, et al. Infrared image enhancement based on the edge detection and mathematical morphology[J]. Mathematical and Computer Modelling, 2005, 41(13):1469-1478.
9. 李虹,王惠南,常林凤,等. 基于二进小波变换和快速主动轮廓模型的医学图像边缘提取[J].生物医学工程学杂志,2008,25(6):1276-1281.
10. 凌毓涛,姚远,曾竞.基于小波的医学图像自适应增强[J]. 华中师范大学学报(自然科学版),2004, 38(1):48-51.

Journal of Biomedical Engineering

Medical Image Processing Based on Wavelet Characteristics and Edge Blur Detection

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