Image preprocessing procedure for noise removal

Image analysis – Histogram processing – For setting a threshold

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G06K 940

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047471565

ABSTRACT:
A method for removing noise in the form of small black spots in a black and white raster picture, which includes the following steps: Generating a moving window of 5.times.5 picture elements having an inner window (R1) of nine and a surrounding outer window (R2) of sixteen picture elements; detecting for each such window whether there are more black picture elements in the inner window than a given threshold, or whether there is any connection between black picture elements in the inner window and the outer window; if this is true, leaving the inner window unchanged; otherwise, i.e. if there are less black picture elements in the inner window than the threshold, and if they are not connected to black picture elements in the outer window, making the inner window all white. Thus, isolated small black spots are eliminated without eroding edges or erasing very thin lines.

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H. S. Hou: "Digital Document Processing", p. 124, John Wiley & Sons, New York, 1983.
G. G. Langdon: "An Introduction to Arithmetic Coding", IBM J. Res. Develop., vol. 28, No. 2, Mar. 1984, pp. 135-149.
A. Rosenfeld, C. M. Park: "Noise Cleaning in Digital Pictures", EASCON '69 Record, pp. 264-273.
W. K. Pratt: Chapter 12.3, "Noise Cleaning", pp. 319-321, out of Digital Image Processing, John Wiley & Sons, New York 1978.
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A. Rosenfeld, A. C. Kak: "Digital Picture Processing", 2nd Edition, vol. 1, Academic Press, New York; Chapter 6.4, Smoothing, pp. 250-264.

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