EnglewoodĬliffs, NJ: Prentice Hall, 1990. Two-Dimensional Signal and Image Processing. Medfilt2 uses ordfilt2 to perform the filtering. This example adds salt and pepper noise to an image, then restores the image using medfilt2. Medfilt2 returns an output value of 4 for this neighborhood, although the true median is 4.5.
Logical input is treated similarly.įor example, suppose you call medfilt2 using 2-by-2 neighborhoods, and the input image is a uint8 array that includes this neighborhood. In these cases, the fractional parts are discarded. If the number of pixels in the neighborhood (i.e., m*n) is even, some of the median values may not be integers. If the input image A is of an integer class, all of the output values are returned as integers. The output image, B, is of the same class as A. The input image, A, can be of class logical, uint8, uint16, or double (unless the 'indexed' syntax is used, in which case A cannot be of class uint16). medfilt2 pads the image with zeros on the edges, so the median values for the points within /2 of the edges may appear distorted.ī = medfilt2(A) performs median filtering of the matrix A using the default 3-by-3 neighborhood.ī = medfilt2(A,'indexed'.) processes A as an indexed image, padding with zeros if the class of A is uint8, or ones if the class of A is double. Hallo Matlab-Profis, ich habe trotz Recherche in der Dokumentation/Hilfe von Matlab Verständnisprobleme mit dem Medianfilter (Medfilt1, Medfilt2, Medfilt3). Each output pixel contains the median value in the m-by- n neighborhood around the corresponding pixel in the input image.
Median filtering is more effective than convolution when the goal is to simultaneously reduce noise and preserve edges.ī = medfilt2(A,) performs median filtering of the matrix A in two dimensions. Median filtering is a nonlinear operation often used in image processing to reduce "salt and pepper" noise. Medfilt2 (Image Processing Toolbox) Image Processing Toolbox
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