public void DetectBlobsSingle()
{
// single blob
string[] inGrid =
{
"XXXXXX",
"X..XXX",
"X....X",
"X.XXXX",
"XXXXXX",
};
string[] outGrid =
{
"@@@@@@",
"@AA@@@",
"@AAAA@",
"@A@@@@",
"@@@@@@",
};
bool[][] map = GridTest.InitBoolGrid(inGrid);
int[][] blob = GridTest.InitIntGrid(outGrid);
var compareBlobs = new List<BlobMap.Blob> { new BlobMap.Blob(new Rect(1, 1, 4, 3), 7) };
bool LocTest(Loc loc) => map[loc.X][loc.Y];
BlobMap result = Detection.DetectBlobs(new Rect(0, 0, map.Length, map[0].Length), LocTest);
Assert.That(result.Map, Is.EqualTo(blob));
Assert.That(result.Blobs, Is.EqualTo(compareBlobs));
}
public void DetectBlobsNone()
{
// no blob
string[] inGrid =
{
"XXXXXX",
"XXXXXX",
"XXXXXX",
"XXXXXX",
};
string[] outGrid =
{
"@@@@@@",
"@@@@@@",
"@@@@@@",
"@@@@@@",
};
bool[][] map = GridTest.InitBoolGrid(inGrid);
int[][] blob = GridTest.InitIntGrid(outGrid);
List<BlobMap.Blob> compareBlobs = new List<BlobMap.Blob>();
bool LocTest(Loc loc) => map[loc.X][loc.Y];
BlobMap result = Detection.DetectBlobs(new Rect(0, 0, map.Length, map[0].Length), LocTest);
Assert.That(result.Map, Is.EqualTo(blob));
Assert.That(result.Blobs, Is.EqualTo(compareBlobs));
}
public void DetectBlobsCorners()
{
// diagonal attached blobs
string[] inGrid =
{
"..XX..",
"..XX..",
"XXXXXX",
"XXXXXX",
};
string[] outGrid =
{
"AA@@BB",
"AA@@BB",
"@@@@@@",
"@@@@@@",
};
bool[][] map = GridTest.InitBoolGrid(inGrid);
int[][] blob = GridTest.InitIntGrid(outGrid);
var compareBlobs = new List<BlobMap.Blob>
{
new BlobMap.Blob(new Rect(0, 0, 2, 2), 4),
new BlobMap.Blob(new Rect(4, 0, 2, 2), 4),
};
bool LocTest(Loc loc) => map[loc.X][loc.Y];
BlobMap result = Detection.DetectBlobs(new Rect(0, 0, map.Length, map[0].Length), LocTest);
Assert.That(result.Map, Is.EqualTo(blob));
Assert.That(result.Blobs, Is.EqualTo(compareBlobs));
}
/// <summary>
/// Fill the holes in the binary image
/// </summary>
/// <param name="b"></param>
protected Bitmap FillHoles(Bitmap b)
{
// clone and invert the bitmap ( which turns holes into islands ! )
Bitmap nb = new Bitmap(b);
// invert it
BlobMap.InvertImage(nb);
// create a temporary blob map which will capture the former holes as islands
BlobMap bm = new BlobMap(nb);
// fill holes
bm.FillHoles(nb);
// invert image with holes filled again !
BlobMap.InvertImage(nb);
// return the image with the holes fill
return(nb);
}
protected override bool AttemptBlob(T map, BlobMap blobMap, int blobIdx)
{
//TODO: blob can be placed if it does not touch the mainland
//but it does touch water that touches the mainland
return(false);
}
/// <summary>
/// Create a new image based on the given sub image with the candidate red eye removed
/// </summary>
/// <param name="b"></param>
public Bitmap ProcessImage(Bitmap b)
{
// temporary images used to remove red eye
Bitmap rednessMask = null, rednessThreshold = null, falseColor = null, noSmallIslands = null, noHoles = null, blured = null;
// the image to return
Bitmap newImage = null;
try
{
// get a CIEMap of the image and the min/max CIE L values for the image
double minL, maxL;
CIELab[] cieMap = this.GetCIELABImage(b, out minL, out maxL);
// get redness mask image
rednessMask = this.GetMaskImage(cieMap, b.Width, b.Height);
// get a threshold of the redness mask
rednessThreshold = this.Threshold(rednessMask);
// create a blob map from the threasholded image
BlobMap blobmap = new BlobMap(rednessThreshold);
// create a false color copy of the thresholded images
falseColor = (Bitmap)rednessThreshold.Clone();
blobmap.ColorIslands(falseColor);
// remove all islands meeting a certain size criteria
noSmallIslands = (Bitmap)rednessThreshold.Clone();
blobmap.RemoveIslands(noSmallIslands);
// create a version with the holes filled
noHoles = this.FillHoles(noSmallIslands);
// get a guassian blurred version of the final mask
float[] kernel = ImageUtility.GetGaussianBlurKernel(3, 15);
blured = ImageUtility.Convolve(noHoles, kernel, 3);
// create new image
newImage = this.GetNewImage(cieMap, // CIE Lab image of the source
minL, maxL, // min/max CIE L* values in the map
blured); // the final mask to be used
// return new image
return(newImage);
}
catch (Exception)
{
}
finally
{
// cleanup any temporaries used
if (rednessMask != null)
{
rednessMask.Dispose();
}
if (rednessThreshold != null)
{
rednessThreshold.Dispose();
}
if (falseColor != null)
{
falseColor.Dispose();
}
if (noSmallIslands != null)
{
noSmallIslands.Dispose();
}
if (noHoles != null)
{
noHoles.Dispose();
}
if (blured != null)
{
blured.Dispose();
}
}
// return new image
return(newImage);
}
