public static Bitmap ConnectByKMeans(this Bitmap map, List <ImageObject> images, KMeansProperties kMeansProperties, int countOfCluster)
{
Bitmap dst = new Bitmap(map.Width, map.Height);
for (int i = 0; i < map.Width; i++)
{
for (int j = 0; j < map.Height; j++)
{
dst.SetPixel(i, j, Color.White);
}
}
var imageEngineService = new ImageEngineService();
images.ForEach(imageEngineService.SetImageProperties);
var clusters = imageEngineService.KMeans(images, countOfCluster, 0.0001, kMeansProperties);
Random rnd = new Random();
foreach (var cluster in clusters)
{
var RRand = rnd.Next(0, 255);
var GRand = rnd.Next(0, 255);
var BRand = rnd.Next(0, 255);
foreach (var clusterImage in cluster.Images)
{
clusterImage.Pixels.ForEach(x => setRColor(x, RRand, GRand, BRand, dst));
}
}
return(dst);
}
public static Bitmap FoursConnection(this Bitmap map)
{
Bitmap dst = new Bitmap(map.Width, map.Height);
var array = map.GetArrayOfPixels();
var imageObjects = new List <ImageObject>();
int currentColor = 2;
for (int i = 0; i < map.Width; i++)
{
for (int j = 0; j < map.Height; j++)
{
dst.SetPixel(i, j, Color.White);
if (array[i, j] == 1)
{
array = ConnectMap(array, i, j, currentColor, map.Width, imageObjects);
currentColor++;
}
}
}
var imageEngineService = new ImageEngineService();
imageObjects.ForEach(imageEngineService.SetImageProperties);
var kMeansProperies = new KMeansProperties(false, false, true, true);
var clusters = imageEngineService.KMeans(imageObjects, 6, 0.0001, kMeansProperies);
Random rnd = new Random();
foreach (var cluster in clusters)
{
var RRand = rnd.Next(0, 255);
var GRand = rnd.Next(0, 255);
var BRand = rnd.Next(0, 255);
foreach (var clusterImage in cluster.Images)
{
clusterImage.Pixels.ForEach(x => setRColor(x, RRand, GRand, BRand, dst));
}
}
return(dst);
}
