Digital Image Processing (using Java)

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• java LogPolar matthead.png 256 256• java QuantisationSimulator matthead.png(p.29)- 3 -
Page 4 and 5: (p.30)- 4 -
Page 6 and 7: (p.34)(p.36)• java LimitsLISTING
Page 8 and 9: (p.38)(p.39)- 8 -
Page 10 and 11: (p.41)(p.42)LISTING 3.3 Example of
Page 12 and 13: }Jlabel view = new Jlabel (new Imag
Page 14 and 15: (p.88)halftoning: gray → binary1.
Page 16 and 17: Copy input image because error diff
Page 18 and 19: public static BufferedImage shrink
Page 20 and 21: (p.112)IntervalTimer timer = new In
Page 22 and 23: (p.113)- 22 -
Page 24 and 25: public abstract void computeMapping
Page 26 and 27: Vector names = new Vector();names.a
Page 28 and 29: (p.124)HistogramTool.javaimport jav
Page 30 and 31: }char[] shortcut = { 'L', 'S', 'X'
Page 32 and 33: }error("No histogram data to save!"
Page 34 and 35: }}System.exit(1);}}else {System.err
Page 36 and 37: Histogram hist = new Histogram(imag
Page 38 and 39: (p.138)- 38 -
Page 40 and 41: (p.144)(p.145)(p.146)Listing 7.1: W
Page 42 and 43: Math.max(1, Math.min(4, Integer.par
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Page 46 and 47: }public static void main(String[] a
Page 48 and 49: (p.163)LISTING 7.5 A mean filtering
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LOG (Laplacian of Gaussian) filter(
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(p.184)σ-trimmed mean filter: f1
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(p.194)(p.231)affine transformation
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AffineTransform t = new AffineTrans
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(p.240)- 60 -
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(p.244)LISTING 9.3 A method to calc
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(p.258)LISTING 10.1 A Java class to
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int x, int y, int n) {in.setSample(
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(p.277)Erosion: ƒΘ s (ƒ→ image
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int ymax = origin.y + h - structEle
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(p.289)LISTING 11.2 filter() method
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(p.292)greyscale erosiongreyscale d
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(p.303)entropy(p.304)information re
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Digital Image Processing (using Java)

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