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Maximum Homogeneity over a Pixel Neighborhood for Image Filtering 1.0

  Date Added: April 22, 2013  |  Visits: 230

Maximum Homogeneity over a Pixel Neighborhood for Image Filtering

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fcnMaxHomogeneityOverPixelNeighborhood performs noise filtering on an image using a switched mean filter with most homogeneous gray-values within a pre-specified local neighborhood around the pixel of interest. It uses a square neighborhood of 3x3 pixels to estimate the gray-level statistics in default settings.Method is based on[1] S. Ali and R. Burge, "New automatic techniques for smoothing and segmenting sar images," Signal Processing, vol. 14, no. 4, pp. 335d-deOCt346, 1988. [http://dx.doi.org/10.1016/0165-1684(88)90092-8]Implementation is based on[1] D. Sheet, S. Pal, A. Chakraborty, J. Chatterjee, A.K. Ray, "Image quality assessment for performance evaluation of despeckle filters in Optical Coherence Tomography of human skin," 2010 IEEE EMBS Conf. Biomedical Engineering and Sciences (IECBES), pp.499-504, Nov. 30 2010 - Dec. 2 2010. [http://dx.doi.org/10.1109/IECBES.2010.5742289] [2] D. Sheet, S. Pal, A. Chakraborty, J. Chatterjee, A.K. Ray, "Visual importance pooling for image quality assessment of despeckle filters in Optical Coherence Tomography," 2010 Intl. Conf. Systems in Medicine and Biology (ICSMB), pp.102-107, 16-18 Dec. 2010. [http://dx.doi.org/10.1109/ICSMB.2010.5735353]

Requirements: No special requirements
Platforms: Matlab
Keyword: Assessment Despeckle Evaluation Filters Image Optical Performance Processing Quality
Users rating: 0/10

License: Shareware Size: 10 KB
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