public List<Bitmap> Apply(Bitmap srcimg)
{
int mw = srcimg.Width;
int mh = srcimg.Height;
int[] pixels = ImageUtils.BitmapToArray1DIntRGB(srcimg);
ColorHistogram colorHist = new ColorHistogram(pixels);
int[] color_array = colorHist.getColorArray();
List<bool[,]> img_list = new List<bool[,]>();
for (int i = 0; i < color_array.Length; i++)
{
img_list.Add(new bool[mh, mw]);
fg_count_list.Add(0);
fg_idx_color_hash.Add(i, color_array[i]);
fg_color_idx_hash.Add(color_array[i], i);
}
for(int i=0;i<mw;i++)
for (int j = 0; j < mh; j++)
{
int idx = (int)fg_color_idx_hash[pixels[j * mw + i]];
(img_list[idx])[j,i] = true;
fg_count_list[idx]++;
}
List<Bitmap> bitmap_list = new List<Bitmap>();
for (int i = 0; i < img_list.Count; i++)
bitmap_list.Add(ImageUtils.ArrayBool2DToBitmap(img_list[i]));
return bitmap_list;
}
public static int countUniqueColorNumber(String fullFilePath)
{
return 40;
Bitmap srcimg = new Bitmap(fullFilePath);
int[] pixels = ImageUtils.BitmapToArray1DIntRGB(srcimg);
ColorHistogram colorHist = new ColorHistogram(pixels);
int[] color_array = colorHist.getColorArray();
return color_array.Length;
}
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 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 Dictionary<int, Color> ApplyFast(String inputName, String saveName)
{
Dictionary<int, Color> tbl = new Dictionary<int, Color>();
Bitmap srcimg = new Bitmap(inputName);
List<int> fg_count_list = new List<int>();
Hashtable fg_color_idx_hash = new Hashtable();
int mw = srcimg.Width;
int mh = srcimg.Height;
int[] pixels = ImageUtils.BitmapToArray1DIntRGB(srcimg);
ColorHistogram colorHist = new ColorHistogram(pixels);
int[] color_array = colorHist.getColorArray();
List<int[,]> img_list = new List<int[,]>();
List<Bitmap> bitmap_list = new List<Bitmap>();
for (int i = 0; i < color_array.Length; i++)
{
bitmap_list.Add(new Bitmap(mw, mh));
img_list.Add(new int[mh, mw]);
fg_count_list.Add(0);
fg_color_idx_hash.Add(color_array[i], i);
tbl.Add(i, getColor(color_array[i]));
}
for (int i = 0; i < mw; i++)
{
for (int j = 0; j < mh; j++)
{
int idx = (int)fg_color_idx_hash[pixels[j * mw + i]];
bitmap_list[idx].SetPixel(i, j, getColor(pixels[j * mw + i]));
fg_count_list[idx]++;
}
}
for (int k = 0; k < img_list.Count; k++)
{
bitmap_list[k].Save(string.Format(saveName, k));
}
return tbl;
}
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 void ApplySaveInd(Bitmap srcimg, string dir, string fn)
{
int mw = srcimg.Width;
int mh = srcimg.Height;
int[] pixels = ImageUtils.BitmapToArray1DIntRGB(srcimg);
ColorHistogram colorHist = new ColorHistogram(pixels);
int[] color_array = colorHist.getColorArray();
//List<bool[,]> img_list = new List<bool[,]>();
//for (int i = 0; i < color_array.Length; i++)
//{
// img_list.Add(new bool[mh, mw]);
// fg_count_list.Add(0);
// fg_idx_color_hash.Add(i, color_array[i]);
// fg_color_idx_hash.Add(color_array[i], i);
//}
for (int c = 0; c < color_array.Length; c++)
{
int rgb = color_array[c];
bool[,] bool_img = new bool[mh, mw];
for (int i = 0; i < mw; i++)
for (int j = 0; j < mh; j++)
{
if(pixels[j * mw + i]==rgb)
bool_img[j, i] = true;
}
ImageUtils.ArrayBool2DToBitmap(bool_img).Save(dir + fn+c+".png");
}
}
public void GenerateColorPalette(string fn, List<int> qnum_list)
{
this.qnum_list = qnum_list;
srcimg = new Bitmap(fn);
width = srcimg.Width;
height = srcimg.Height;
pixels = ImageUtils.BitmapToArray1DIntRGB(srcimg);
for (int i = 0; i < qnum_list.Count; i++)
{
color_table_list.Add( new Hashtable());
ini_color_table_list.Add(new Hashtable());
}
ColorHistogram colorHist = new ColorHistogram(pixels, false);
int K = colorHist.getNumberOfColors();
findRepresentativeColors(K, colorHist);
}
void findRepresentativeColors(int K, ColorHistogram colorHist)
{
imageColors = new ColorNode[K];
for (int i = 0; i < K; i++)
{
int rgb = colorHist.getColor(i);
int cnt = colorHist.getCount(i);
imageColors[i] = new ColorNode(rgb, cnt);
}
//if (K <= qnum_list[0]) // image has fewer colors than Kmax
// rCols = imageColors;
//else
{
ColorBox initialBox = new ColorBox(0, K - 1, 0, imageColors);
List<ColorBox> colorSet = new List<ColorBox>();
colorSet.Add(initialBox);
int k = 1;
for (int i = 0; i < qnum_list.Count; i++)
{
int Kmax = qnum_list[i];
bool done = false;
while (k < Kmax && !done)
{
ColorBox nextBox = findBoxToSplit(colorSet);
if (nextBox != null)
{
ColorBox newBox = nextBox.splitBox();
colorSet.Add(newBox);
k = k + 1;
}
else
{
done = true;
}
}
quantColors_list.Add(averageColors(colorSet,i));
}
}
colorHist = null;
GC.Collect();
}
public void YIQData(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];
}
}
}
public void GenerateColorFromNegativeExamples(Bitmap srcimg)
{
ColorHistogram color_histogram = new ColorHistogram();
HashSet<int> color = color_histogram.GetColorHashSet(srcimg);
foreach (int c in color)
negtive_color.Add(c);
}
public double[] getLayerColorHSV(string layerPath, int n)
{
Bitmap srcimg = new Bitmap(layerPath);
int[] pixels = ImageUtils.BitmapToArray1DIntRGB(srcimg);
ColorHistogram colorHist = new ColorHistogram(pixels);
int[] color_array = colorHist.getColorArray();
String st = color_array[1].ToString();
Color c = getColor(int.Parse(st));
//Hsv hsv = new Hsv(c.GetHue(),c.GetSaturation(),c.GetBrightness());
//double[] f = { hsv.Hue, hsv.Satuation, hsv.Value };
//double[] f = { c.GetHue(), c.GetSaturation() ,c.GetBrightness() };
int max = Math.Max(c.R, Math.Max(c.G, c.B));
int min = Math.Min(c.R, Math.Min(c.G, c.B));
double hue = c.GetHue();
double saturation = (max == 0) ? 0 : 1d - (1d * min / max);
double value = max / 255d;
double[] f = { hue, saturation * 100, value * 100 };
return f;
}
