public static Cluster DetectCluster(DataImage resultImage, int xOrigin, int yOrigin, byte minColor, byte maxColor)
{
result = resultImage;
data = result.data;
pixelsChecked = new bool[data.Length];
colorMin = minColor;
colorMax = maxColor;
height = result.Height;
width = result.Width;
ranges = new RangeQueue();
currentCluster = new Cluster(resultImage);
//////
if (!(result[xOrigin, yOrigin] >= minColor && result[xOrigin, yOrigin] <= maxColor))
throw new InvalidOperationException("Point is not within color range");
/////\
LinearDetect(ref xOrigin, ref yOrigin);
while (ranges.size > 0)
{
DetectionRange range = ranges.Dequeue();
int upY = range.y - 1;
int downY = range.y + 1;
int downIndex = resultImage.GetDataIndex(range.x1, downY);
int upIndex = resultImage.GetDataIndex(range.x1, upY);
int currentIndex;
for (int x = range.x1; x <= range.x2; x++)
{
currentIndex = result.GetDataIndex(x, upY);
if (range.y > 0 && (!pixelsChecked[upIndex]) && PixelIsWithinColorRange(ref currentIndex))
LinearDetect(ref x, ref upY);
currentIndex = result.GetDataIndex(x, downY);
if (range.y < (height - 1) && (!pixelsChecked[downIndex]) && PixelIsWithinColorRange(ref currentIndex))
LinearDetect(ref x, ref downY);
downIndex += height;
upIndex += height;
}
}
Array.Resize<int>(ref currentCluster.indexes, currentCluster.Length);
Array.Sort(currentCluster.Indexes);
return currentCluster;
}
