Digital Image Processing (using Java)

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Histogram hist = new Histogram(image);EqualiseOp eq = new EqualiseOp(hist);Buffered<strong>Image</strong> eq_img = eq.filter(image, null);(p.130)(p.135)- 36 -
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Page 3 and 4: • java LogPolar matthead.png 256
Page 5 and 6: (p.31)HSICalc.java: RGB → HIS(0~2
Page 7 and 8: (p.37)(p.37)- 7 -
Page 9 and 10: (p.40)- 9 -
Page 11 and 12: (p.79)• usage: java convert infil
Page 13 and 14: public ImageView (BufferedImage img
Page 15 and 16: (p.92)ALGORITHM 5.1 Dithering BY Fl
Page 17 and 18: public static int clamp(float value
Page 19 and 20: LISTING 5.17 Java code to average a
Page 21 and 22: 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: (p.126)(p.128)LISTING 6.5 A subclas
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
Page 61 and 62: (p.241)(p.243)- 61 -
Page 63 and 64: (p.248)(p.255)- 63 -
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
Page 73 and 74: (p.291)- 73 -
Page 75 and 76: (p.294)detect peakstop-hat transfor

Digital Image Processing (using Java)

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