public override long GetDistance(Bitmap img, Bitmap selfImg, int type)
{
long result;
byte[] pixels1;
byte[] pixels2;
var watch = System.Diagnostics.Stopwatch.StartNew();
if (type == 0)
{
pixels1 = ColorHistogram.Histogram(img);
watch.Stop();
pixels2 = ColorHistogram.Histogram(selfImg);
Console.WriteLine("Hpropio: " + watch.ElapsedMilliseconds);
watch = System.Diagnostics.Stopwatch.StartNew();
result = DarwinDistance(pixels1, pixels2);
watch.Stop();
Console.WriteLine("Casas" + watch.ElapsedMilliseconds);
}
else
{
pixels1 = Contrast.ContrastHistogram(img);
watch.Stop();
pixels2 = Contrast.ContrastHistogram(selfImg);
Console.WriteLine("Hpropio: " + watch.ElapsedMilliseconds);
watch = System.Diagnostics.Stopwatch.StartNew();
result = DarwinDistance(pixels1, pixels2);
Console.WriteLine("Darwin: " + watch.ElapsedMilliseconds);
}
return(result);
}
public void ColorHistogramGetColors()
{
tlog.Debug(tag, $"ColorHistogramGetColors START");
int[] pixels = new int[3] {
16, 4, 20
};
var testingTarget = new ColorHistogram(pixels);
Assert.IsNotNull(testingTarget, "Should be not null!");
Assert.IsInstanceOf <ColorHistogram>(testingTarget, "Should be an Instance of ColorHistogram!");
try
{
testingTarget.GetColors();
tlog.Debug(tag, "colors :" + testingTarget.GetColors());
}
catch (Exception e)
{
tlog.Debug(tag, e.Message.ToString());
Assert.Fail("Caught Exception: Failed!");
}
tlog.Debug(tag, $"ColorHistogramGetColors END (OK)");
}
public void CorrectClosestHistogramTest()
{
var histogramService = new HistogramSorterService();
var histogram1 = new ColorHistogram(
"randomId1",
new List <double> {
0.1
},
new List <double> {
0.1, 0.2
},
new List <double> {
0.1, 0.2, 0.3
}
);
var histogram2 = new ColorHistogram(
"randomId2",
new List <double> {
0.1
},
new List <double> {
0.1, 0.2
},
new List <double> {
0.1, 0.2, 0.2
}
);
var histogram3 = new ColorHistogram(
"randomId3",
new List <double> {
0.1
},
new List <double> {
0.1, 0.1
},
new List <double> {
0.1, 0.2, 0.4
}
);
var selectedHistograms = new List <ColorHistogram> {
histogram1, histogram2, histogram3
};
var comparisonMap = histogramService.CreateHistogramComparisonMap(selectedHistograms);
selectedHistograms.RemoveAt(0);
var closestIndex = histogramService.FindTheClosestHistogramIndex(
"randomId1",
selectedHistograms,
comparisonMap
);
Assert.True(closestIndex == 0);
}
public void getRGBData(ColorHistogram colorHist, double[][] data)
{
int size = colorHist.getNumberOfColors();
for (int x = 0; x < size; x++)
{
data[x] = new double[3];
int rgb = colorHist.getColor(x);
data[x][0] = ((rgb & 0xFF0000) >> 16);
data[x][1] = ((rgb & 0xFF00) >> 8);
data[x][2] = (rgb & 0xFF);
}
}
public void ColorHistogramConstructor()
{
tlog.Debug(tag, $"ColorHistogramConstructor START");
int[] pixels = new int[3] {
16, 4, 20
};
var testingTarget = new ColorHistogram(pixels);
Assert.IsNotNull(testingTarget, "Should be not null!");
Assert.IsInstanceOf <ColorHistogram>(testingTarget, "Should be an Instance of ColorHistogram!");
tlog.Debug(tag, $"ColorHistogramConstructor END (OK)");
}
public void CorrectDifferenceTest()
{
var histogramService = new HistogramSorterService();
var histogram1 = new ColorHistogram(
"randomId1",
new List <double> {
0.1
},
new List <double> {
0.1, 0.2
},
new List <double> {
0.1, 0.2, 0.3
}
);
var histogram2 = new ColorHistogram(
"randomId2",
new List <double> {
0.1
},
new List <double> {
0.1, 0.2
},
new List <double> {
0.1, 0.2, 0.3
}
);
var difference = histogramService.HistogramDifferenceSum(histogram1, histogram2);
Assert.True(difference == 0);
var histogram3 = new ColorHistogram(
"randomId3",
new List <double> {
0.1
},
new List <double> {
0.1, 0.1
},
new List <double> {
0.1, 0.2, 0.2
}
);
difference = histogramService.HistogramDifferenceSum(histogram1, histogram3);
Assert.True(difference - 2 * Math.Pow(0.1, 2) < 0.001);
}
public void getYIQData(ColorHistogram colorHist, double[][] data)
{
int size = colorHist.getNumberOfColors();
for (int x = 0; x < size; x++)
{
data[x] = new double[3];
int rgb = colorHist.getColor(x);
double[] yiq = RGB2YIQ(rgb);
for (int y = 0; y < 3; y++)
{
data[x][y] = yiq[y];
}
}
}
/// <summary>
/// Go through the differences in two color histograms, square them a sum all this.
/// </summary>
/// <returns>Sum of the histogram differences squared.</returns>
public double HistogramDifferenceSum(
ColorHistogram histogram1,
ColorHistogram histogram2
)
{
if (histogram1.BlueHistogram.Count != histogram2.BlueHistogram.Count ||
histogram1.GreenHistogram.Count != histogram2.GreenHistogram.Count ||
histogram1.RedHistogram.Count != histogram2.RedHistogram.Count)
{
throw new ArgumentException("Histograms do not have the same range of colors.");
}
double blueDifferenceSum = 0;
for (var colorRangeIndex = 0; colorRangeIndex < histogram1.BlueHistogram.Count; colorRangeIndex++)
{
blueDifferenceSum +=
Math.Pow(
histogram1.BlueHistogram[colorRangeIndex] - histogram2.BlueHistogram[colorRangeIndex],
2
);
}
double greenDifferenceSum = 0;
for (var colorRangeIndex = 0; colorRangeIndex < histogram1.GreenHistogram.Count; colorRangeIndex++)
{
greenDifferenceSum +=
Math.Pow(
histogram1.GreenHistogram[colorRangeIndex] - histogram2.GreenHistogram[colorRangeIndex],
2
);
}
double redDifferenceSum = 0;
for (var colorRangeIndex = 0; colorRangeIndex < histogram1.RedHistogram.Count; colorRangeIndex++)
{
redDifferenceSum +=
Math.Pow(
histogram1.RedHistogram[colorRangeIndex] - histogram2.RedHistogram[colorRangeIndex],
2
);
}
return(blueDifferenceSum + greenDifferenceSum + redDifferenceSum);
}
public void Apply(string intermediatePath)
{
//tergetURL = "http://secure.futureclimateinfo.com/api/wms?request=GetMap&BBOX=314100,543800,314600,544300&SRS=EPSG:27700&WIDTH=1056&HEIGHT=1056&LAYERS=nls-sixinch&STYLES=&FORMAT=image/png";
//tergetURL = "http://secure.futureclimateinfo.com/api/wms?SERVICE=WMS&VERSION=1.1.1&request=GetMap&BBOX=314100,543800,314600,544300&SRS=EPSG:27700&WIDTH=1056&HEIGHT=1056&LAYERS=nls-sixinch&STYLES=&FORMAT=image/pnG";
//tergetURL = "http://secure.futureclimateinfo.com/api/wms?request=GetMap&BBOX=589400,194000,589900,194500&SRS=EPSG:27700&WIDTH=1056&HEIGHT=1056&LAYERS=nls-sixinch&STYLES=&FORMAT=image/png";
//tergetURL = "http://secure.futureclimateinfo.com/api/wms?request=GetMap&BBOX=589400,194000,590400,195000&SRS=EPSG:27700&WIDTH=947&HEIGHT=947&LAYERS=nls-sixinch&STYLES=&FORMAT=image/pnG";
//MapServerParameters.targetURL = "http://secure.futureclimateinfo.com/api/wms?&&SERVICE=WMS&VERSION=1.1.1&REQUEST=GetMap&BBOX=597528,209822,598528,210822&SRS=EPSG:27700&WIDTH=1500&HEIGHT=1500&LAYERS=nls-sixinch:&STYLES=&FORMAT=image/png&DPI=96&MAP_RESOLUTION=96&FORMAT_OPTIONS=dpi:96&TRANSP...
Bitmap SourceImage = ConnectToMapServer.ConnectToWMS(MapServerParameters.targetURL);
SourceImage.Save(intermediatePath + StraboParameters.sourceMapFileName);
ColorHistogram ch = new ColorHistogram();
if (!ch.CheckImageColors(SourceImage, 2))
{
Exception e = new Exception("The returned image is invalid, it has less than two colors.");
Log.WriteLine("The returned image is invalid, it has less than two colors.");
throw e;
}
}
public void IncorrectRangeTest()
{
var histogramService = new HistogramSorterService();
var histogram1 = new ColorHistogram(
"randomId1",
new List <double> {
0.1
},
new List <double> {
0.1, 0.2
},
new List <double> {
0.1, 0.2, 0.3
}
);
var histogram2 = new ColorHistogram(
"randomId2",
new List <double> {
0.1, 0.2
},
new List <double> {
0.1, 0.2
},
new List <double> {
0.1, 0.2, 0.3
}
);
try
{
histogramService.HistogramDifferenceSum(histogram1, histogram2);
}
catch (ArgumentException)
{
Assert.True(true);
}
catch (Exception)
{
Assert.True(false);
}
}
public Tile Apply(string intermediatePath, string output_file_name)
{
double mapWestCorner = double.Parse(MapServerParameters.BBOXW);
double mapNorthCorner = double.Parse(MapServerParameters.BBOXN);
string wmsMapPath = intermediatePath + output_file_name;
int layer = MapServerParameters.ZoomLevel;
Bitmap SourceImage = GetImage(mapWestCorner, mapNorthCorner, intermediatePath);
SourceImage.Save(wmsMapPath);
ColorHistogram ch = new ColorHistogram();
if (!ch.CheckImageColors(SourceImage, 2))
{
SourceImage.Dispose();
Exception e = new Exception("The returned image is invalid, it has less than two colors.");
Log.WriteLine("The returned image is invalid, it has less than two colors.");
throw e;
}
SourceImage.Dispose();
return(_tile);
}
public override void OnInspectorGUI()
{
base.OnInspectorGUI();
ColorHistogram histogram = target as ColorHistogram;
tabSelected = GUILayout.Toolbar(tabSelected, new string[] { "Red Channel", "Green Channel",
"Blue Channel", "Alpha Channel" });
if (histogram == null)
{
return;
}
Debug.Log("GilLog - ColorHistogramEditor::OnInspectorGUI - tabSelected " + tabSelected + " ");
if (tabSelected >= 0 && tabSelected < histogram.alreadyCalculated.Length && histogram.alreadyCalculated[tabSelected])
{
GUILayout.Label(histogram.histogram[tabSelected], GUILayout.Width(300f));
}
if (GUILayout.Button("Calculate Histogram"))
{
histogram.alreadyCalculated = new bool[] { false, false, false, false };
histogram.histogram = new Texture2D[4];
for (int i = 0; i < 4; i++)
{
histogram.CalculateHistogramTexture(i);
}
}
// AssetPreview.GetAssetPreview(histogram.GetHistogramTexture());
// GUI.Box(new Rect(0,0, 100, 100), "Colors");
// EditorGUI.DrawPreviewTexture(new Rect(0,0,100, 100), histogram.GetHistogramTexture());
}
public string Apply(int k, string fn, string outImagePath)
{
Bitmap srcimg = new Bitmap(fn);
pixels = ImageUtils.BitmapToArray1DIntRGB(srcimg);
ColorHistogram colorHist = new ColorHistogram(pixels, false);
int size = colorHist.getNumberOfColors();
if (size <= k)
{
srcimg.Save(outImagePath, ImageFormat.Png);
}
else
{
double[][] data = new double[size][];
getRGBData(colorHist, data);
ClusterCollection clusters;
KMeansParallel kMeans = new KMeansParallel();
clusters = kMeans.ClusterDataSet(k, data);
PaintRGB(srcimg, kMeans, clusters).Save(outImagePath, ImageFormat.Png);
}
return(outImagePath);
}
public AutoAdjustFilter(ColorHistogram colorHistogram,
BrightnessHistogram brightnessHistogram)
{
ColorHistogram = colorHistogram;
BrightnessHistogram = brightnessHistogram;
}
public AutoAdjustFilter(ColorHistogram colorHistogram,
BrightnessHistogram brightnessHistogram)
{
ColorHistogram = colorHistogram;
BrightnessHistogram = brightnessHistogram;
}
public void CorrectComparisonMapTest()
{
var histogramService = new HistogramSorterService();
var histogram1 = new ColorHistogram(
"randomId1",
new List <double> {
0.1
},
new List <double> {
0.1, 0.2
},
new List <double> {
0.1, 0.2, 0.3
}
);
var histogram2 = new ColorHistogram(
"randomId2",
new List <double> {
0.1
},
new List <double> {
0.1, 0.2
},
new List <double> {
0.1, 0.2, 0.2
}
);
var histogram3 = new ColorHistogram(
"randomId3",
new List <double> {
0.1
},
new List <double> {
0.1, 0.1
},
new List <double> {
0.1, 0.2, 0.4
}
);
var selectedHistograms = new List <ColorHistogram> {
histogram1, histogram2, histogram3
};
var comparisonMap = histogramService.CreateHistogramComparisonMap(selectedHistograms);
Assert.True(comparisonMap.Count == 6);
Assert.True(
comparisonMap[new HistogramComparisonKeys("randomId1", "randomId2")] - Math.Pow(0.1, 2) < 0.001
);
Assert.True(
comparisonMap[new HistogramComparisonKeys("randomId2", "randomId1")] - Math.Pow(0.1, 2) < 0.001
);
Assert.True(
comparisonMap[new HistogramComparisonKeys("randomId1", "randomId3")] - 2 * Math.Pow(0.1, 2) < 0.001
);
Assert.True(
comparisonMap[new HistogramComparisonKeys("randomId3", "randomId1")] - 2 * Math.Pow(0.1, 2) < 0.001
);
Assert.True(
comparisonMap[new HistogramComparisonKeys("randomId2", "randomId3")] - (Math.Pow(0.1, 2) + Math.Pow(0.2, 2)) < 0.001
);
Assert.True(
comparisonMap[new HistogramComparisonKeys("randomId3", "randomId2")] - (Math.Pow(0.1, 2) + Math.Pow(0.2, 2)) < 0.001
);
}
public void CorrectSortTest()
{
var histogramService = new HistogramSorterService();
var histogram1 = new ColorHistogram(
"randomId1",
new List <double> {
0.1
},
new List <double> {
0.1, 0.2
},
new List <double> {
0.1, 0.2, 0.3
}
);
var histogram2 = new ColorHistogram(
"randomId2",
new List <double> {
0.1
},
new List <double> {
0.1, 0.2
},
new List <double> {
0.1, 0.2, 0.2
}
);
var histogram3 = new ColorHistogram(
"randomId3",
new List <double> {
0.1
},
new List <double> {
0.1, 0.1
},
new List <double> {
0.1, 0.2, 0.4
}
);
var histogram4 = new ColorHistogram(
"randomId4",
new List <double> {
0.2
},
new List <double> {
0.2, 0.1
},
new List <double> {
0.1, 0.2, 0.3
}
);
var selectedHistograms = new List <ColorHistogram> {
histogram1, histogram2, histogram3, histogram4
};
var comparisonMap = histogramService.CreateHistogramComparisonMap(selectedHistograms);
var sortedHistograms = histogramService.SortSelectedHistograms(
2,
2,
comparisonMap,
selectedHistograms
);
Assert.True(true);
}
