annotate gnv-artifacts/src/main/java/de/intevation/gnv/raster/Raster.java @ 605:e8ebdbc7f1e3

First step of removing the cache blob. The static part of the describe document will be created by using the input data stored at each state. Some TODOs left (see ChangeLog). gnv-artifacts/trunk@671 c6561f87-3c4e-4783-a992-168aeb5c3f6f
author Ingo Weinzierl <ingo.weinzierl@intevation.de>
date Tue, 09 Feb 2010 14:27:55 +0000
parents 6e8364e766fa
children c4156275c1e1
rev   line source
424
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1 package de.intevation.gnv.raster;
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2
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3 /**
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4 * @author Sascha L. Teichmann (sascha.teichmann@intevation.de)
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5 */
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6 public class Raster
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7 {
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8 public static class Kernel {
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9
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10 public static final class Coeff {
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11 public int di;
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12 public int dj;
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13 public double c;
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14
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15 public Coeff() {
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16 }
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17
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18 public Coeff(int di, int dj, double c) {
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19 this.di = di;
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20 this.dj = dj;
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21 this.c = c;
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22 }
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23
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24 public String toString() {
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25 return String.valueOf(c);
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26 }
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27
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28 } // class Coeff
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29
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30 protected Coeff [] coeffs;
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31 protected int width;
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32
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33 public Kernel() {
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34 }
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35
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36 public Kernel(Coeff [] coeffs, int width) {
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37 this.coeffs = coeffs;
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38 this.width = width;
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39 }
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40
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41 public static double gauss(double x, double y, double sigma) {
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42 double s2 = sigma*sigma;
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43 return 1.0d/(2.0d*Math.PI*s2)*Math.exp(-(x*x + y*y)/(2.0d*s2));
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44 }
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45
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46 public static Kernel createGauss() {
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47 return createGauss(1.0d, 5);
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48 }
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49
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50 public static Kernel createGauss(double sigma, int width) {
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51 Coeff [] coeffs = new Coeff[width*width];
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52 double sum = 0d;
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53 for (int j = 0; j < width; ++j) {
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54 int y = -width/2 + j;
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55 for (int i = 0; i < width; ++i) {
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56 int x = -width/2 + i;
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57 double c = gauss(x, y, sigma);
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58 coeffs[j*width + i] = new Coeff(x, y, c);
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59 sum += c;
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60 }
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61 }
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62 sum = 1.0/sum;
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63 for (int i = 0; i < coeffs.length; ++i) {
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64 coeffs[i].c *= sum;
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65 }
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66 return new Kernel(coeffs, width);
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67 }
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68
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69 public double fold(Access access, int i, int j) {
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70
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71 double s = 0.0d;
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72
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73 double unused = 0d;
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74
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75 for (int k = 0; k < coeffs.length; ++k) {
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76 Coeff coeff = coeffs[k];
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77 double v = access.get(i + coeff.di, j + coeff.dj);
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78 if (Double.isNaN(v)) {
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79 unused += coeff.c;
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80 }
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81 else {
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82 s += v * coeff.c;
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83 }
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84 }
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85
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86 return s*(1.0d - unused);
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87 }
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88
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89 public String toString() {
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90 StringBuilder sb = new StringBuilder();
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91
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92 int height = coeffs.length/width;
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93
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94 for (int j = 0; j < height; ++j) {
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95 if (j > 0) {
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96 sb.append(System.getProperty("line.separator"));
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97 }
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98 for (int i = 0; i < width; ++i) {
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99 if (i > 0) {
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100 sb.append("\t");
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101 }
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102 sb.append(coeffs[j*width + i]);
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103 }
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104 }
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105
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106 return sb.toString();
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107 }
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108 } // class Kernel
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109
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110 public interface Access {
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111
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112 double get(int i, int j);
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113
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114 } // interface Access
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115
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116 public interface ValueToIndex {
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117
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118 int toIndex(double value);
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119
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120 } // interface ValueToIndex;
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121
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122 public static class IsoClasses
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123 implements ValueToIndex
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124 {
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125 protected double m;
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126 protected double b;
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127 protected int numClasses;
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128
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129 public IsoClasses(Raster raster, int numClasses) {
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130
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131 this.numClasses = numClasses;
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132
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133 double min = Double.MAX_VALUE;
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134 double max = -Double.MAX_VALUE;
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135
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136 double [] src = raster.raster;
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137
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138 for (int i = 0; i < src.length; ++i) {
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139 double x = src[i];
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140 if (!Double.isNaN(x)) {
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141 if (x < min) min = x;
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142 if (x > max) max = x;
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143 }
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144 }
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145
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146 /* f(min) = 0, f(max) = numClasses - 1
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147
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148 I: 0 = m*min + b
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149 II: numClasses - 1 = m*max + b
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150
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151 II - I:
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152 numClasses - 1 = m*(max - min)
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153
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154 m = (numClasses - 1)/(max - min)
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155 b = m*min
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156 */
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157
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158 if (max == min) {
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159 m = 0;
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160 b = 0;
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161 }
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162 else {
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163 m = (numClasses - 1)/(max - min);
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164 b = m*min;
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165 }
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166 }
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167
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168 public int toIndex(double value) {
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169 return Double.isNaN(value)
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170 ? -1
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171 : Math.min(Math.max(0, (int)Math.round(m*value + b)), numClasses-1);
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172 }
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173 } // class IsoClasses
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174
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175 protected double [] raster;
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176 protected int width;
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177
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178 public Raster() {
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179 this(new double[0], 0);
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180 }
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181
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182 public Raster(double [] raster, int width) {
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183 this.raster = raster;
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184 this.width = width;
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185 }
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186
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187 public int getWidth() {
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188 return width;
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189 }
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190
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191 public int getHeight() {
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192 return raster.length / width;
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193 }
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194
495
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195 public double [] getValues() {
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196 return raster;
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197 }
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198
424
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199 public int [] toIndexed(ValueToIndex valueToIndex) {
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200 int [] dst = new int[raster.length];
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201 for (int i = 0; i < raster.length; ++i) {
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202 dst[i] = valueToIndex.toIndex(raster[i]);
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203 }
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204 return dst;
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205 }
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206
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207 public Raster create(Kernel kernel) {
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208 double [] dst = new double[raster.length];
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209 Raster r = new Raster(dst, width);
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210 r.apply(kernel, continueBorder());
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211 return r;
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212 }
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213
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214 public void apply(Kernel kernel, Access access) {
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215 int height = getHeight();
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216 for (int j = 0; j < height; ++j) {
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217 int row = j*width;
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218 for (int i = 0; i < width; ++i) {
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219 raster[row + i] = kernel.fold(access, i, j);
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220 }
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221 }
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222 }
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223
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224 public Access continueBorder() {
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225 return new Access() {
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226 int height = getHeight()-1;
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227 public double get(int i, int j) {
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228 if (i < 0) i = 0;
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229 else if (i >= width) i = width-1;
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230 if (j < 0) j = 0;
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231 else if (j > height) j = height;
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232 return raster[j*width + i];
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233 }
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234 };
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235 }
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236 }
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237 // vim:set ts=4 sw=4 si et sta sts=4 fenc=utf8:

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