| J. Young and L. Gerbrands, Vliet, Fundamentals of Image Processing, Delft University of Technology, Netherlands, 1998. |
....the maximum value from n x n windows of f(i,j) and negate this value to give the lowest weight value to the bad pixels; second apply a threshold on the result, so that it can assume only two values: 0 or 1. The threshold value is chosen from a histogram of the image using the isodata algorithm[5]. Fig 3 a shows the results of the local frequency estimate of a porcine liver image. The weight values applied in the MWD algorithm are shown in Fig 3 b. Figure 3: The results of local frequency estimation from liver porcine image, after processing step l(a) and step 2(b) 3. RESULTS The effect ....
I.T. Young, J.J. Gerbrands, and L.J. Van Vliet, Fundamentals of Image Processing, Delft University of Technology, Netherlands, 1995.
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J. Young and L. Gerbrands, Vliet, Fundamentals of Image Processing, Delft University of Technology, Netherlands, 1998.
No context found.
J. Young and L. Gerbrands, Vliet, Fundamentals of Image Processing, Delft University of Technology, Netherlands, 1998.
No context found.
J. Young and L. Gerbrands, Vliet, Fundamentals of Image Processing, Delft University of Technology, Netherlands, 1998.
No context found.
Young IT, Gerbrands JJ, van Vliet LJ. Fundamental Image Processing. Delft: Delft University of Technology; 1995. 110 p.
No context found.
I. T. Young, J. J. Gerbrands, and L. J. van Vliet, Fundamentals of Image Processing, Delft University of Technology, 1995.
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