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基于中值滤波去噪和小波融合的乳腺图像增强方法 被引量:1

Mammogram image enhancement method based on median filtering denoising and wavelet fusion
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摘要 将小波变换的多分辨率分析理论应用于图像融合中,提出了一种既能改善图像整体对比度,同时也能增强乳腺图像的组织细节结构的方法.实验结果说明了该方法的有效性. Multi-resolution analysis via wavelet transformation is applied to image fusion.Based on this foundation,we put forward an mammogram image enhancement method.It not only improves image whole contrast but also enhances mammogram image tissue structure.The result of the experiment shows the efficiency of the method.
出处 《渤海大学学报(自然科学版)》 CAS 2013年第2期106-109,176,共5页 Journal of Bohai University:Natural Science Edition
基金 黑龙江省教育厅科学技术研究项目资助(No:12513098)
关键词 图像增强 中值滤波 灰度线性变换 局部标准偏差 小波融合 image enhancement median filtering gray linear transformation local standard deviation wavelet fusion
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  • 1LaineA, Fan J. Wavelets for contrast enhancement of digital mammography[ J]. IEEE EMB Magazine, 1995, 14(5) : 536 -550.
  • 2Heinlein P, Drexl J, Schneider W. Integrated wavelets for enhancement of microcalfications in digital mammography[ J]. IEEE Transactions onMedical Imaging, 2003, 22(3) : 402 -413.
  • 3柯丽,张明慧,黄廉卿.基于小波变换的CR图像增强[J].光电子.激光,2005,16(8):989-992. 被引量:17
  • 4刘李鹂,高智勇,刘向明.基于小波分析的红外乳腺图像去噪与增强的实验研究[J].北京生物医学工程,2007,26(3):229-232. 被引量:3
  • 5KupinskiM A, Giger M L. Feature selection and classifiers for the computerized detection of mass lesions in digital mammography[ J3. In IEEEInt. Congr, Neural Networks, 1997,2460 - 2463.
  • 6Abbass H A. An evolutionary artificial neural networics approach for breast cancer diagnosis[ J]. Artificial Intelligence in Medicine, 2002, 25(3): 265 -281.
  • 7DippelS, Stahi M, Wiemker R, et al. Multiscale contrast enhancement for radiographies: laplacian pyramid versus fast wavelet transform[ J].IEEE Trans. Med. Image.,2002, 21(4), 343 -353.
  • 8Betal D. Extraction of microcalcifications from digital mammograms using mathematical morphology( R] . The Institution of Electrical Engineers.Printed and Published by the IEE, Savory Place, Lodon WC2R 0BL, UK, 1993.
  • 9Shen L, Rangayyan H M. Desautels, application of shape analysis to mammographic calcifications( J]. IEEE Transactions on Medical Imaging,1994,13 (2): 263 -274.
  • 10El ~ Naqa I,Yang Y, Wemick M N, et al. Support vector machine learning for detection of micro calcifications in mammograms[ M]. In: ProIEEE Int'l Symp Biomedical Imaging t 2002, 201 -204.

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