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REDUCING PERIODIC NOISE USING SOFT MORPHOLOGY FILTER 被引量：2

REDUCING PERIODIC NOISE USING SOFT MORPHOLOGY FILTER
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摘要 A novel spatial domain method--soft morphology filter is presented for reducing the periodic noise in image processing. The simulation results are presented to demonstrate the effectiveness of the method in comparison with a frequency domain method and other spatial domain filters. A novel spatial domain method-soft morphology filter is presented for reducing the periodic noise in image processing. The simulation results are presented to demonstrate the effectiveness of the method in comparison with a frequency domain method and other spatial domain filters.
作者 JiZhen MingZhong LiQi WuQinghua
机构地区 FacultyofInformationEngineering DeptofElectricalEng.andElectron.
出处 《Journal of Electronics(China)》 2004年第2期159-162,共4页 电子科学学刊（英文版）
基金 Supported by the National Natural Science Foundation of China (No.60373084)
关键词 Soft morphology Noise reduction Periodic noise 软形态 噪音消除 周期性噪声 滤波器 图像处理
分类号 TN911.73 [电子电信—通信与信息系统]
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参考文献1

  • 1Pauli Kuosmanen,Pertti Koivisto,Heikki Huttunen,Jaakko Astola.Shape preservation criteria and optimal soft morphological filtering[J].Journal of Mathematical Imaging and Vision.1995(4)

同被引文献11

  • 1江贵平,张煜,陈武凡,李树祥.基于MRI数据的人体器官三维重建[J].第一军医大学学报,2005,25(1):15-17. 被引量：12
  • 2龚剑,张煜,陈武凡.基于广义模糊吉波斯随机场的噪声图象分割[J].南方医科大学学报,2006,26(4):390-393. 被引量：2
  • 3Pal NR, Pal SK. A review on image segmentation techniques [J]. Pattern Recognition, 1994, 26(9) : 1277-1294.
  • 4Serra J. Image analysis and mathematical morphology [ M ]. London: Academic Press, 1982.
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  • 6HT Nguyen, M Worring, R van den Boomgaard. Watersnakes: Energy-driven watershed segmentation [J]. IEEE Transactions on Pattern Analysis and Machine Intelligenceb 2003, 25 (3) : 330-342.
  • 7Luc Vincent, Pierre Soille. Watersheds in digital spaces: an efficient algorithm based on immersion simulations [J]. IEEE Transactions on Pattem Analysis and Machine Intelligence, 1991, 13 (6) : 583-598.
  • 8Lin YC, Tsai YP, Hung YP. Comparison between immersion-based and toboggan-based watershed image segmentation [J]. IEEE Transactions on Image Processing, 2006, 15 (3) : 632-40.
  • 9Luc Vincent. Morphological grayscale reconstruction in image analysis: applications and efficient algorithrns[J]. IEEE Transactions on Image Processing, 1993, 2(2) : 176-201.
  • 10Grau V, Mewes AUJ, Alcaniz M, et al. Improved watershed transform for medical image segmentation using prior information [J]. IEEE Transactions on Medical Imaging, 2004, 23(4) : 447-458.

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Journal of Electronics(China)
2004年 第2期

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