Digital Image Processing (using Java)

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(p.292)greyscale erosiongreyscale dilation(p.293)- 74 -
(p.294)detect peakstop-hat transform: g = ƒ -(ƒ ο s).open(ƒ․s) – ƒ → detect valleys in the grey level surfaceclosing(p.296)GreyErodeGreyDilateGreyOpenGreyClose(p.297)Exercises4. Using the classes described in this chapter, write a <strong>Java</strong> program to perform thetop-hat transform.(p.301)RMS error (root-mean-square) for MXN image- 75 -
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• java LogPolar matthead.png 256
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(p.31)HSICalc.java: RGB → HIS(0~2
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(p.37)(p.37)- 7 -
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(p.40)- 9 -
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(p.79)• usage: java convert infil
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public ImageView (BufferedImage img
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(p.92)ALGORITHM 5.1 Dithering BY Fl
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public static int clamp(float value
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LISTING 5.17 Java code to average a
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int numPixels = n*n;short[] image =
Page 23 and 24: public LookupOp(LookupTable table,
Page 25 and 26: GreyMap.java• java GreyMap in.jpg
Page 27 and 28: (p.119)ALGORITHM 6.3 Calculation of
Page 29 and 30: menuBar.add(menu);setJMenuBar(menuB
Page 31 and 32: BufferedImage image = input.decodeA
Page 33 and 34: }histTool.pack();histTool.setVisibl
Page 35 and 36: (p.126)(p.128)LISTING 6.5 A subclas
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Page 39 and 40: (p.142)- 39 -
Page 41 and 42: }public static void main(String[] a
Page 43 and 44: (p.153)(p.155)low pass filtering: c
Page 45 and 46: (p.158)High pass filtering: kernel
Page 47 and 48: int i = 0;for (int y = -n; y
Page 49 and 50: java MeanFilter matthead.png matt-m
Page 51 and 52: (p.169)Laplacian- 51 -
Page 53 and 54: (p.176)mean filter:median filter: s
Page 55 and 56: (P.190)- 55 -
Page 57 and 58: import java.awt.geom.AffineTransfor
Page 59 and 60: (p.238)LISTING 9.2 Java implementat
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Page 65 and 66: (p.260)(p.261)LISTING 10.2 Java cod
Page 67 and 68: java RegionGrowingTool matthead.png
Page 69 and 70: Dilation: ƒ ♁ s(p.282)LISTING 11
Page 71 and 72: union:(p.284)Opening = erosion dila
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Digital Image Processing (using Java)

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