public Bitmap pixelCensorship(Image image, int[] coordinates)
{
Bitmap bitmap = image.BitmapImage;
double[] coordinatesDouble = new double[coordinates.Length];
for (int i = 0; i < coordinates.Length; i++)
{
coordinatesDouble[i] = Convert.ToDouble(coordinates[i]);
}
Scissors scissors = new Scissors();
Resizer resizer = new Resizer();
AddImage AI = new AddImage();
Bitmap cropped = scissors.Crop(bitmap, coordinatesDouble);
Bitmap ResizedSmall = resizer.ResizeImage(cropped, 10, 10);
Bitmap ResizedNormal = resizer.ResizeImage(ResizedSmall, cropped.Width, cropped.Height);
Bitmap Final = AI.InsertImage(bitmap, ResizedNormal, coordinates[0], coordinates[1], coordinates[2], coordinates[3]);
return(Final);
}
public Bitmap ImageCollage(List <Image> images, int widthImage = 1000, int heightImage = 1000,
int widthInsertImage = 100, int heightInsertImage = 100, Bitmap backgroundImage = null, int R = 0, int G = 0, int B = 0)
{
Random rnd = new Random();
Resizer resizer = new Resizer();
Bitmap Collage = new Bitmap(widthImage, heightImage);
if (backgroundImage != null)
{
backgroundImage = resizer.ResizeImage(backgroundImage, widthImage, heightImage);
Collage = backgroundImage;
}
else
{
for (int x = 0; x < Collage.Width; x++)
{
for (int y = 0; y < Collage.Height; y++)
{
Collage.SetPixel(x, y, Color.FromArgb(R, G, B));
}
}
}
List <int[]> positions = new List <int[]>();
int position = 0;
for (int i = 0; i < images.Count; i++)
{
int[] coordRandom = { rnd.Next(0, widthImage - widthInsertImage), rnd.Next(0, heightImage - heightInsertImage) };
positions.Add(coordRandom);
}
foreach (Image image in images)
{
Collage = InsertImage(Collage, resizer.ResizeImage(image.BitmapImage, widthInsertImage, heightInsertImage),
positions[position][0], positions[position][1], widthInsertImage, heightInsertImage);
position++;
}
return(Collage);
}
public System.Drawing.Bitmap Merge(List <Image> images)
{
Resizer resizer = new Resizer();
List <Bitmap> Final = new List <Bitmap>();
int x = 0;
int y = 0;
for (int i = 0; i < images.Count; i++)
{
if ((x >= images[i].Resolution[0] && y >= images[i].Resolution[1]) || (x == 0 && y == 0))
{
x = images[i].Resolution[0];
y = images[i].Resolution[1];
}
}
foreach (Image image in images)
{
Bitmap bitmap = resizer.ResizeImage(image.BitmapImage, x, y);
Final.Add(bitmap);
}
return(MergeRecursive(Final, Final[0], 2));
}
public Bitmap Mosaic(Image image, List <Image> images, int width = 10, int height = 10)
{
Console.WriteLine("Loading images, please wait");
//Converting loaded image into bitmap
Resizer resizer = new Resizer();
Bitmap imageBit = image.BitmapImage;
Bitmap bmp = (Bitmap)imageBit.Clone();
Scissors scissors = new Scissors();
bmp = resizer.ResizeImage(bmp, 80 * width, 80 * height);
int bmpWidth = bmp.Width / (bmp.Width / width);
int bmpHeight = bmp.Height / (bmp.Height / height);
Console.WriteLine("Dividing Image");
List <int[]> coords = new List <int[]>();
Dictionary <Bitmap, int[]> dict = new Dictionary <Bitmap, int[]>();
for (int i = 0; i < (bmp.Width / width); i++)
{
for (int y = 0; y < (bmp.Height / height); y++)
{
Graphics gr = Graphics.FromImage(bmp);
Rectangle r = new Rectangle(i * bmpWidth,
y * bmpHeight,
bmpWidth,
bmpHeight);
double[] coord = { r.X, r.Y, r.Width, r.Height };
int[] bitCoord = { (i * bmpWidth),
(y * bmpHeight),
(bmpWidth),
(bmpHeight) };
dict.Add(scissors.Crop(bmp, coord), bitCoord);
coords.Add(bitCoord);
}
}
List <Bitmap> list = new List <Bitmap>();
foreach (KeyValuePair <Bitmap, int[]> keys in dict)
{
list.Add(keys.Key);
}
Console.WriteLine("Getting Avg RGBS");
List <int[]> rgbAVG = avgRGB(list);
List <Bitmap> imagesList = new List <Bitmap>();
foreach (Image imageInsert in images)
{
imagesList.Add(imageInsert.BitmapImage);
}
Bitmap baseImage = new Bitmap(bmp.Width, bmp.Height);
int AvgCont = 0;
int max = list.Count;
ColorFilter CF = new ColorFilter();
while (true)
{
double porcentage = ((double)AvgCont / (double)max);
BarraCarga("Creando Mosaico", porcentage);
if (AvgCont < max)
{
Color color = Color.FromArgb(rgbAVG[AvgCont][0], rgbAVG[AvgCont][1], rgbAVG[AvgCont][2]);
baseImage = InsertImage(baseImage, CF.ApplyFilter(Random(images), color)
, coords[AvgCont][0], coords[AvgCont][1], coords[AvgCont][2], coords[AvgCont][3]);
}
else
{
return(baseImage);
}
AvgCont++;
GC.Collect();
}
}