Source Code Cross Referenced for MlibHistogramOpImage.java in  » 6.0-JDK-Modules » Java-Advanced-Imaging » com » sun » media » jai » mlib » Java Source Code / Java DocumentationJava Source Code and Java Documentation

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Java Source Code / Java Documentation » 6.0 JDK Modules » Java Advanced Imaging » com.sun.media.jai.mlib 
Source Cross Referenced  Class Diagram Java Document (Java Doc) 


001:        /*
002:         * $RCSfile: MlibHistogramOpImage.java,v $
003:         *
004:         * Copyright (c) 2005 Sun Microsystems, Inc. All rights reserved.
005:         *
006:         * Use is subject to license terms.
007:         *
008:         * $Revision: 1.1 $
009:         * $Date: 2005/02/11 04:55:57 $
010:         * $State: Exp $
011:         */package com.sun.media.jai.mlib;
012:
013:        import java.awt.Rectangle;
014:        import java.awt.image.ComponentSampleModel;
015:        import java.awt.image.Raster;
016:        import java.awt.image.RenderedImage;
017:        import javax.media.jai.Histogram;
018:        import javax.media.jai.StatisticsOpImage;
019:        import java.util.Iterator;
020:        import java.util.TreeMap;
021:        import com.sun.medialib.mlib.Image;
022:        import com.sun.medialib.mlib.mediaLibImage;
023:
024:        /**
025:         * An <code>OpImage</code> implementing the "Histogram" operation as
026:         * described in <code>javax.media.jai.operator.HistogramDescriptor</code>.
027:         *
028:         * @see javax.media.jai.Histogram
029:         * @see javax.media.jai.operator.HistogramDescriptor
030:         */
031:        final class MlibHistogramOpImage extends StatisticsOpImage {
032:
033:            /** Number of bins per band. */
034:            private int[] numBins;
035:
036:            /** The low value checked inclusive for each band. */
037:            private double[] lowValueFP;
038:
039:            /** The high value checked exclusive for each band. */
040:            private double[] highValueFP;
041:
042:            /** The low value checked inclusive for each band. */
043:            private int[] lowValue;
044:
045:            /** The high value checked exclusive for each band. */
046:            private int[] highValue;
047:
048:            /** The number of bands of the source image. */
049:            private int numBands;
050:
051:            private int[] bandIndexMap;
052:
053:            private boolean reorderBands = false;
054:
055:            /**
056:             * Constructs an <code>MlibHistogramOpImage</code>.
057:             *
058:             * @param source  The source image.
059:             */
060:            public MlibHistogramOpImage(RenderedImage source, int xPeriod,
061:                    int yPeriod, int[] numBins, double[] lowValueFP,
062:                    double[] highValueFP) {
063:                super (source, null, // ROI
064:                        source.getMinX(), // xStart
065:                        source.getMinY(), // yStart
066:                        xPeriod, yPeriod);
067:
068:                // Save the band count.
069:                numBands = sampleModel.getNumBands();
070:
071:                // Allocate memory to copy parameters.
072:                this .numBins = new int[numBands];
073:                this .lowValueFP = new double[numBands];
074:                this .highValueFP = new double[numBands];
075:
076:                // Copy parameters.
077:                for (int b = 0; b < numBands; b++) {
078:                    this .numBins[b] = numBins.length == 1 ? numBins[0]
079:                            : numBins[b];
080:                    this .lowValueFP[b] = lowValueFP.length == 1 ? lowValueFP[0]
081:                            : lowValueFP[b];
082:                    this .highValueFP[b] = highValueFP.length == 1 ? highValueFP[0]
083:                            : highValueFP[b];
084:                }
085:
086:                // Convert low values to integers. ceil() is used because the
087:                // pixel values are integral and the comparison is inclusive
088:                // so a floor() might include unwanted values if the low
089:                // value is floating point.
090:                this .lowValue = new int[this .lowValueFP.length];
091:                for (int i = 0; i < this .lowValueFP.length; i++) {
092:                    this .lowValue[i] = (int) Math.ceil(this .lowValueFP[i]);
093:                }
094:
095:                // Convert high values to integers. ceil() is used because the
096:                // pixel values are integral and the comparison is exclusive
097:                // so a floor might cause desired values to be excluded as
098:                // only those through floor(high) - 1 would be included.
099:                this .highValue = new int[this .highValueFP.length];
100:                for (int i = 0; i < this .highValueFP.length; i++) {
101:                    this .highValue[i] = (int) Math.ceil(this .highValueFP[i]);
102:                }
103:
104:                // Set up the band re-index map if needed.
105:                if (numBands > 1) {
106:                    ComponentSampleModel csm = (ComponentSampleModel) sampleModel;
107:
108:                    TreeMap indexMap = new TreeMap();
109:
110:                    // Determine whether there is more than one bank.
111:                    int[] indices = csm.getBankIndices();
112:                    boolean checkBanks = false;
113:                    for (int i = 1; i < numBands; i++) {
114:                        if (indices[i] != indices[i - 1]) {
115:                            checkBanks = true;
116:                            break;
117:                        }
118:                    }
119:
120:                    // Check the banks for ordering.
121:                    if (checkBanks) {
122:                        for (int i = 0; i < numBands; i++) {
123:                            indexMap.put(new Integer(indices[i]),
124:                                    new Integer(i));
125:                        }
126:
127:                        bandIndexMap = new int[numBands];
128:                        Iterator bankIter = indexMap.keySet().iterator();
129:                        int k = 0;
130:                        while (bankIter.hasNext()) {
131:                            int idx = ((Integer) indexMap.get(bankIter.next()))
132:                                    .intValue();
133:                            if (idx != k) {
134:                                reorderBands = true;
135:                            }
136:                            bandIndexMap[k++] = idx;
137:                        }
138:                    }
139:
140:                    // If band re-ordering not needed on basis of bank indices
141:                    // then check ordering of band offsets.
142:                    if (!reorderBands) {
143:                        indexMap.clear();
144:
145:                        if (bandIndexMap == null) {
146:                            bandIndexMap = new int[numBands];
147:                        }
148:
149:                        int[] offsets = csm.getBandOffsets();
150:                        for (int i = 0; i < numBands; i++) {
151:                            indexMap.put(new Integer(offsets[i]),
152:                                    new Integer(i));
153:                        }
154:
155:                        Iterator offsetIter = indexMap.keySet().iterator();
156:                        int k = 0;
157:                        while (offsetIter.hasNext()) {
158:                            int idx = ((Integer) indexMap
159:                                    .get(offsetIter.next())).intValue();
160:                            if (idx != k) {
161:                                reorderBands = true;
162:                            }
163:                            bandIndexMap[k++] = idx;
164:                        }
165:                    }
166:                }
167:            }
168:
169:            protected String[] getStatisticsNames() {
170:                String[] names = new String[1];
171:                names[0] = "histogram";
172:                return names;
173:            }
174:
175:            protected Object createStatistics(String name) {
176:                if (name.equalsIgnoreCase("histogram")) {
177:                    return new Histogram(numBins, lowValueFP, highValueFP);
178:                } else {
179:                    return java.awt.Image.UndefinedProperty;
180:                }
181:            }
182:
183:            protected void accumulateStatistics(String name, Raster source,
184:                    Object stats) {
185:                // Get the JAI histogram.
186:                Histogram histogram = (Histogram) stats;
187:                int numBands = histogram.getNumBands();
188:                int[][] histJAI = histogram.getBins();
189:
190:                // Get the tile bounds.
191:                Rectangle tileRect = source.getBounds();
192:
193:                // Get the tile bins.
194:                int[][] histo;
195:                if (!reorderBands && tileRect.equals(getBounds())) {
196:                    // Entire image: use the global histogram bins directly.
197:                    histo = histJAI;
198:                } else {
199:                    // Sub-image: save results for this tile only.
200:                    histo = new int[numBands][];
201:                    for (int i = 0; i < numBands; i++) {
202:                        histo[i] = new int[histogram.getNumBins(i)];
203:                    }
204:                }
205:
206:                // Get the mlib image.
207:                int formatTag = MediaLibAccessor
208:                        .findCompatibleTag(null, source);
209:                MediaLibAccessor accessor = new MediaLibAccessor(source,
210:                        tileRect, formatTag);
211:                mediaLibImage[] img = accessor.getMediaLibImages();
212:
213:                // Determine the offset within the tile.
214:                int offsetX = (xPeriod - ((tileRect.x - xStart) % xPeriod))
215:                        % xPeriod;
216:                int offsetY = (yPeriod - ((tileRect.y - yStart) % yPeriod))
217:                        % yPeriod;
218:
219:                if (histo == histJAI) {
220:                    synchronized (histogram) {
221:                        // Compute the histogram into the global array.
222:                        Image.Histogram2(histo, img[0], lowValue, highValue,
223:                                offsetX, offsetY, xPeriod, yPeriod);
224:                    }
225:                } else {
226:                    // Compute the histogram into the local array.
227:                    Image.Histogram2(histo, img[0], lowValue, highValue,
228:                            offsetX, offsetY, xPeriod, yPeriod);
229:
230:                    // Accumulate values if not using the global histogram.
231:                    synchronized (histogram) {
232:                        for (int i = 0; i < numBands; i++) {
233:                            int numBins = histo[i].length;
234:                            int[] binsBandJAI = reorderBands ? histJAI[bandIndexMap[i]]
235:                                    : histJAI[i];
236:                            int[] binsBand = histo[i];
237:                            for (int j = 0; j < numBins; j++) {
238:                                binsBandJAI[j] += binsBand[j];
239:                            }
240:                        }
241:                    }
242:                }
243:            }
244:        }
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