• Acta Photonica Sinica
  • Vol. 39, Issue 8, 1372 (2010)
OU-YANG Cheng-su* and HUANG Yong-xuan
Author Affiliations
  • [in Chinese]
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    DOI: Cite this Article
    OU-YANG Cheng-su, HUANG Yong-xuan. A New De-noising Method for X-ray Image Using Fuzzy Weighted Median Filter[J]. Acta Photonica Sinica, 2010, 39(8): 1372 Copy Citation Text show less
    References

    [1] Xi′an Xijing Optical & Electrical instrument co′ltd. CCD-DDR system[EB/OL]. http://www. xjoptics.com/product_list/PL_6.htm,2006-03-06.

    [2] GANGULI R.Noise and outlier removal from jet engine health signals using weighted fir median hybrid filters[J]. Mechanical Systems and Signal Processing, 2002, 16(6): 967-978.

    [3] BRANKOV J G, SAIZ-HERRANZ A, WERNICK M N. Noise analysis for enhanced imaging[J]. IEEE Biomedical Imaging,2004, 2(4): 1428-1431.

    [4] JIN B, PARK N, GEORGE K M. Modeling and analysis of soft-test/repair for CCD-based digital X-Ray Systems[J]. IEEE Trans on Instrumentation and Measurement, 2003, 52(6): 1713-1721.

    [5] MATEO J L, CABALLERO HERNNDEZ A. Finding out general tendencies in speckle noise reduction in ultrasound images[J]. Expert Systems with Applications 2009, 36(4): 7786-7797.

    [6] QI Fei, LI Yan-jun, ZHANG Ke. Infrared image denoising by fuzzy threshold based on bandelets transform[J]. Acta Photonica Sinica, 2008, 37(12): 2564-2567.

    [7] CHEN H C, WANG W J. Efficient impulse noise reduction via local directional gradients and fuzzy logic[J]. Fuzzy Sets and Systems, 2009, 160(3): 1841-1857.

    [8] CHEN S S, YANG X, CAO G. Impulse noise suppression with an augmentation of ordered difference noise detector and an adaptive variational method[J]. Pattern Recognition Letters, 2009, 30(4): 460-467.

    [9] SCHULTE S, de WITTE V, NACHTEGAEL M, et al. Fuzzy random impulse noise reduction method[J]. Fuzzy Sets and Systems, 2007, 158(3): 270-283.

    [10] TOPRAK A, GLER . Impulse noise reduction in medical images with the use of switch mode fuzzy adaptive median filter[J]. Digital Signal Processing, 2007, 17(4): 711-723.

    [11] TOPRAK A, ZERDEM M S, GLER . Suppression of impulse noise in MR images using artificial intelligent based neuro-fuzzy adaptive median filter[J]. Digital Signal Processing, 2008, 18(3): 391-405.

    [12] XIONG Xiong-ze, LI Yan-jun, ZHANG Ke, et al. Signal denoising by spatially selective noise filtration based on fuzzy threshold[J]. Acta Photonica Sinica, 2008, 37(10): 2099-2103.

    [13] LI Jun-sheng, LIU Zhong-tian. Ultrasonic medical image denoising method based on anisotropic diffusion-median filtering[J]. Computer Applications and Software, 2009, 26(1): 76-77.

    [14] VQEG. Final report from the video quality experts group on the validation of objective models of video quality assessment[EB/OL]. http: //www. vqeg. org, 2000.

    [15] SHEIKH H R, SABIR M F, BOVIK A C, et al. A statistical evaluation of recent full reference image quality assessment algorithms[J]. IEEE Transactions on Image Processing, 2006, 15(11): 3441-3451.

    [16] ZHAO Li-long, FANG Zhi-liang, GU Ze-chang. Novel adaptive thresholding technique for poor lighting document image based on human vision characteristic[J]. Acta Photonica Sinica, 2009, 38(5): 1301-1305.

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    OU-YANG Cheng-su, HUANG Yong-xuan. A New De-noising Method for X-ray Image Using Fuzzy Weighted Median Filter[J]. Acta Photonica Sinica, 2010, 39(8): 1372
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