public static SegmentationCoord Segment(TiffImage image, int N, float threshold)
{
CreatePixelMap(image, N);
GrowUntilNoChange(threshold, N);
return((x, y) => FindRoot(pixelMap[x][y]));
}
// draw the (top left corner of the) original image but with the segment boundaries overlayed in blue
public void overlaySegmentation(string filename, int N, Segmentation segmentation)
{
var newImage = new TiffImage(1 << N, 1 << N);
var BLUE = unchecked ((int)0xFFFF0000); // ABGR
for (var y = 0; y < newImage.height; y++)
{
for (var x = 0; x < newImage.width; x++)
{
var a = segmentation(x, y);
if (x == newImage.width - 1 || x == 0 || !segmentation(x, y).Equals(segmentation(x - 1, y)) ||
y == newImage.height - 1 || y == 0 || !segmentation(x, y).Equals(segmentation(x, y - 1)))
{
newImage.setColour(new Coordinate(x, y), BLUE);
}
else
{
newImage.setColour(new Coordinate(x, y), getColour(new Coordinate(x, y)));
}
}
}
newImage.saveImage(filename);
}
// draw the (top left corner of the) original image but with the segment boundaries overlayed in blue
public void OverlaySegmentation(string filename, int N, Segment[,] segmentation)
{
var newImage = new TiffImage(1 << N, 1 << N);
var BLUE = unchecked ((int)0xFFFF0000); // ABGR
for (var y = 0; y < newImage.height; y++)
{
for (var x = 0; x < newImage.width; x++)
{
//var a = segmentation(x, y);
//var b = segmentation(x - 1, y);
//var c = segmentation(x, y - 1);
if (x == newImage.width - 1 || x == 0 || !segmentation[x, y].Equals(segmentation[x - 1, y]) ||
y == newImage.height - 1 || y == 0 || !segmentation[x, y].Equals(segmentation[x, y - 1]))
{
newImage.SetColour(x, y, BLUE);
}
else
{
newImage.SetColour(x, y, GetColour(x, y));
}
}
}
newImage.SaveImage(filename);
}
static int Main(string[] args)
{
// filepath to the image
string imagePath = args[0];
TiffImage image = new TiffImage(imagePath);
// testing using sub-image of size 32x32 pixels
int N = 5;
// increasing this threshold will result in more segment merging and therefore fewer final segments
double threshold = 800.0;
Segmentor segmentor = new Segmentor(N, threshold);
// determine the segmentation for the (top left corner of the) image (2^N x 2^N) pixels
Segment[,] segmentation = segmentor.SegmentImage(image);
// draw the (top left corner of the) original image but with the segment boundaries overlayed in blue
image.OverlaySegmentation("csharp-segmented.tif", N, segmentation);
// return an integer exit code
return(0);
}
//The Constructor for the Module, acept image, the size of the image and the threshhold as parameters
public SegmentationModule(TiffImage image, int size, float threshold)
{
if (size > 0)
{
this.size = size;
}
this.image = image;
this.currentThreshold = threshold;
this.pixelArray = CreatePixelArray(this.size);
moduleSegmentation = new Dictionary <Segment, Segment>();
}
static void Main(string[] args)
{
var image = new TiffImage("..\\TestImages\\L15-3792E-1717N-Q4.tif");
var N = 5;
var threshold = 800.0F;
var segmentation = new SegmentationService(image, N, threshold);
image.overlaySegmentation("segmentedN" + N + ".tif", N, segmentation);
}
// Initialise the segmentation with a Segment for every pixel in the image
private void CreateSegmentationFromImage(TiffImage image)
{
// allocate and initialise segmentation
segmentation = new Segment[size, size];
for (int x = 0; x < size; x++)
{
for (int y = 0; y < size; y++)
{
Pixel pixel = new Pixel(x, y, image.GetColourBands(x, y));
segmentation[x, y] = new Segment(pixel);
}
}
}
// Loop over every segment in dither order and attempt to grow it until no change in the segmentation
// attempt to grow a segment
// get the neighbour segments
// if their are no neighbours we are done and we can bail out
// get the best neighbour segments
// if there are no best neighbours then bail out and indicate that nothing has changed
// get the mutually optimal neighbour segments
// if none do "gradient descent" merging
// else merge the optimal neighbours and exit, indicate that something has changed
public Segment[,] SegmentImage(TiffImage image)
{
// Build an initial segmentation
CreateSegmentationFromImage(image);
bool unfinished = true;
while (unfinished)
{
unfinished = TryGrowAllSegments();
}
return(segmentation);
}
public static void CreatePixelMap(TiffImage image, float N)
{
pixelMap = new Pixel[(int)Math.Pow(2, N)][];
for (int i = 0; i < Math.Pow(2, N); i++)
{
pixelMap[i] = new Pixel[(int)Math.Pow(2, N)];
for (int j = 0; j < Math.Pow(2, N); j++)
{
pixelMap[i][j] = new Pixel(Tuple.Create(i, j), image.getColourBands(i, j));
}
}
}
static void Main(string[] args)
{
var image = new TiffImage(args[0]);
var N = 5;
var threshold = 800.0F;
var segmentation = SegmentationModule.Segment(image, N, threshold);
image.overlaySegmentation("segmented.tif", N, segmentation);
return; // We're all good in the hood
}
static void Main(string[] args)
{
// load a Tiff image
var image = new TiffImage(args[0]);
// testing using sub-image of size 32x32 pixels
var N = 5;
// increasing this threshold will result in more segment merging and therefore fewer final segments
var threshold = 800.0f;
// determine the segmentation for the (top left corner of the) image (2^N x 2^N) pixels
var segmentation = new Segmenter(image, N, threshold);
// draw the (top left corner of the) original image but with the segment boundaries overlayed in blue
image.overlaySegmentation("segmented.tif", N, segmentation);
}
static void Main(string[] args)
{
// the size for the image
int size = 6;
TiffImage image = new TiffImage("D:/SegmentationSkeleton/TestImages/L15-3662E-1902N-Q4.tif");
//passing the image, the size (2*size x 2*size image ) and the threshhol into the segmentation module
SegmentationModule module1 = new SegmentationModule(image, size, 800);
//grow the Segmentation in the module from an emty dictionary
module1.GrowUntilNoChange();
// determine the segmentation for the (top left corner of the) image (2^N x 2^N) pixels
Segmentation segmentation = new Segmentation(module1.Segment);
// draw the (top left corner of the) original image but with the segment boundaries overlayed in blue
image.overlaySegmentation("C#output.tif", size, segmentation);
// Notify the Console when the output is finished.
Console.WriteLine("finish");
Console.ReadKey();
}
static void Main(string[] args)
{
// load a Tiff image
// FIX HERE
TiffImage image = new TiffImage("..//TestImages//L15-3792E-1717N-Q4.tif");
// testing using sub-image of N 32x32 pixels
// let N =5, execution time: 5 secs
int N = 5;
// increasing this threshold will result in more segment merging and therefore fewer final segments
int threshold = 800;
//passing the image, the N (2*N x 2*N image ) and the threshold into the segmentation module
SegmentationModule segmentation = new SegmentationModule(image, N, threshold);
//grow the Segmentation in the module from an emty dictionary
segmentation.GrowUntilNoChange();
// draw the (top left corner of the) original image but with the segment boundaries overlayed in blue
image.overlaySegmentation("csharpSegmented.tif", N, segmentation.Segment);
}
public Segmenter(TiffImage image, int N, float threshold)
{
this.Image = image;
this.N = N;
this.Threshold = threshold;
}
