public double[] ConvertImageToDouble(Bitmap imageBitmap)
{
Grayscale gs = new Grayscale(0, 0, 0);
ImageToMatrix imageToMatrix = new ImageToMatrix();
imageBitmap = gs.Apply(imageBitmap);
imageToMatrix.Convert(imageBitmap, out byte[][] imageBytes);
foreach (byte[] t in imageBytes)
{
for (var j = 0; j < t.Length; j++)
{
if (t[j] > 190)
{
t[j] = 1;
}
else
{
t[j] = 0;
}
}
}
return(imageBytes.Flatten().ToDouble());
}
public static bool RotateTest32bpp(IFilter filter, Bitmap input, Bitmap output)
{
var itm = new ImageToMatrix();
// Test directly
Color[,] actual;
itm.Convert(filter.Apply(input), out actual);
Color[,] expected;
itm.Convert(output, out expected);
if (!actual.IsEqual(expected))
{
return(false);
}
// Rotate and re-test
var rotate = new RotateNearestNeighbor(90, false);
input = rotate.Apply(input);
output = rotate.Apply(output);
itm.Convert(filter.Apply(input), out actual);
itm.Convert(output, out expected);
return(actual.IsEqual(expected));
}
public double[] ConvertImageToDouble(Bitmap imageBitmap)
{
ImageToMatrix imageToMatrix = new ImageToMatrix();
imageToMatrix.Convert(imageBitmap, out byte[][] imageBytes);
imageToMatrix.Convert(imageBitmap, out Color[][] imageColors);
Color characterColor = imageColors.SelectMany(c => c).GroupBy(c => c.Name).OrderByDescending(g => g.Count()).ElementAt(1).ElementAt(0);
for (var i = 0; i < imageBytes.Length; i++)
{
for (var j = 0; j < imageBytes[i].Length; j++)
{
if (imageColors[i][j].Name == characterColor.Name)
{
imageBytes[i][j] = 1;
}
else
{
imageBytes[i][j] = 0;
}
}
}
return(imageBytes.Flatten().ToDouble());
}
public void ImageToMatrixConstructorTest1()
{
ImageToMatrix target = new ImageToMatrix();
Assert.AreEqual(0, target.Min);
Assert.AreEqual(1, target.Max);
Assert.AreEqual(0, target.Channel);
}
public void ImageToMatrixConstructorTest1()
{
ImageToMatrix target = new ImageToMatrix();
Assert.AreEqual(0, target.Min);
Assert.AreEqual(1, target.Max);
Assert.AreEqual(0, target.Channel);
}
public static float[,] FromBitmap(Bitmap image)
{
ImageToMatrix i2m = new ImageToMatrix();
float[,] texture;
i2m.Convert(image, out texture);
return(texture);
}
public byte[,] Dat2DownMat(string path, int length, double scale)
{
//try
//{
// Matrix2Bitmap = new MatrixToImage();
// Bitmap2matrix = new ImageToMatrix();
//
// Stream loadstream = new FileStream(path, FileMode.Open);
// byte[] oneshotVector = new byte[length];
// loadstream.Read( oneshotVector , 0 , oneshotVector.Length );
// loadstream.Dispose();
//
// byte[,] temp = Vec2Mat(oneshotVector, ImgInfo.W, ImgInfo.H); // ok
// oneshotVector = null;
//
// Bitmap tempbit = new Bitmap(ImgInfo.W, ImgInfo.H, PixelFormat.Format4bppIndexed);
// Matrix2Bitmap.Convert( temp , out tempbit );
// temp = null;
// Bitmap tempdown = new Bitmap(tempbit, new Size((int)(ImgInfo.W / scale), (int)(ImgInfo.H / scale)));
// tempbit = null;
// byte[,] arrdown = new byte[(int)(tempdown.Width / scale), (int)(tempdown.Height / scale)];
// Bitmap2matrix.Convert( tempdown , out arrdown );
// tempdown = null;
// //arrdown = Matrix.Transpose(arrdown);
// return arrdown;
//}
try
{
Matrix2Bitmap = new MatrixToImage();
Bitmap2matrix = new ImageToMatrix();
Stream loadstream = new FileStream(path, FileMode.Open);
byte[] oneshotVector = new byte[length];
loadstream.Read(oneshotVector, 0, oneshotVector.Length);
loadstream.Dispose();
byte[,] temp = Accord.Math.Matrix.Transpose(Vec2Mat(oneshotVector, ImgInfo.W, ImgInfo.H)); // ok
oneshotVector = null;
//Bitmap tempbit = new Bitmap(ImgInfo.W, ImgInfo.H, PixelFormat.Format4bppIndexed);
//Matrix2Bitmap.Convert(temp, out tempbit);
//temp = null;
//Bitmap tempdown = new Bitmap(tempbit, new Size((int)(ImgInfo.W / scale), (int)(ImgInfo.H / scale)));
//tempbit = null;
//byte[,] arrdown = new byte[(int)(tempdown.Width / scale), (int)(tempdown.Height / scale)];
//Bitmap2matrix.Convert(tempdown, out arrdown);
//tempdown = null;
//arrdown = Matrix.Transpose(arrdown);
return(temp);
}
catch (Exception ex)
{
MessageBox.Show(ex.ToString());
return(new byte[0, 0]);
}
}
public void ImageToMatrixConstructorTest()
{
double min = -10;
double max = +10;
ImageToMatrix target = new ImageToMatrix(min, max);
Assert.AreEqual(min, target.Min);
Assert.AreEqual(max, target.Max);
Assert.AreEqual(0, target.Channel);
}
public void ImageToMatrixConstructorTest()
{
double min = -10;
double max = +10;
ImageToMatrix target = new ImageToMatrix(min, max);
Assert.AreEqual(min, target.Min);
Assert.AreEqual(max, target.Max);
Assert.AreEqual(0, target.Channel);
}
/// <summary>
/// Metoda konwertująca obraz do Bitmap, a następnie na macierz
/// </summary>
/// <param name="localPath">Ścieżka do pliku</param>
/// <returns>Macierz pixeli</returns>
public double[,] GetPixelArray(string localPath)
{
double[,] result;
Bitmap image = new Bitmap(localPath);
ImageToMatrix conventer = new ImageToMatrix(min: 0, max: 1);
conventer.Convert(image, out result);
return(result);
}
public void ConvertTest3()
{
double[] pixels =
{
0, 0, 0, 0,
0, 1, 1, 0,
0, 1, 1, 0,
0, 0, 0, 0,
};
ArrayToImage conv1 = new ArrayToImage(width: 4, height: 4);
Bitmap image;
conv1.Convert(pixels, out image);
image = new ResizeNearestNeighbor(16, 16).Apply(image);
// Obtain an image
// Bitmap image = ...
// Show on screen
//ImageBox.Show(image, PictureBoxSizeMode.Zoom);
// Create the converter to convert the image to a
// matrix containing only values between 0 and 1
ImageToMatrix conv = new ImageToMatrix(min: 0, max: 1);
// Convert the image and store it in the matrix
double[,] matrix; conv.Convert(image, out matrix);
/*
* // Show the matrix on screen as an image
* ImageBox.Show(matrix, PictureBoxSizeMode.Zoom);
*
*
* // Show the matrix on screen as a .NET multidimensional array
* MessageBox.Show(matrix.ToString(CSharpMatrixFormatProvider.InvariantCulture));
*
* // Show the matrix on screen as a table
* DataGridBox.Show(matrix, nonBlocking: true)
* .SetAutoSizeColumns(DataGridViewAutoSizeColumnsMode.Fill)
* .SetAutoSizeRows(DataGridViewAutoSizeRowsMode.AllCellsExceptHeaders)
* .SetDefaultFontSize(5)
* .WaitForClose();
*/
Assert.AreEqual(0, matrix.Min());
Assert.AreEqual(1, matrix.Max());
Assert.AreEqual(16 * 16, matrix.Length);
}
public void ConvertTest1()
{
MatrixToImage target = new MatrixToImage();
double[,] pixels =
{
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 0
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 1
{ 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0 }, // 2
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 3
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 4
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 5
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 6
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 7
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 8
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 9
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 10
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 11new Bitmap(Properties
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 12
{ 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0 }, // 13
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 14
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 15
};
Bitmap imageActual;
target.Convert(pixels, out imageActual);
double[,] actual;
ImageToMatrix c = new ImageToMatrix();
c.Convert(imageActual, out actual);
double[,] expected;
Bitmap imageExpected = Accord.Imaging.Image.Clone(Resources.image1);
new Threshold().ApplyInPlace(imageExpected);
new Invert().ApplyInPlace(imageExpected);
c.Convert(imageExpected, out expected);
for (int i = 0; i < pixels.GetLength(0); i++)
{
for (int j = 0; j < pixels.GetLength(1); j++)
{
Assert.AreEqual(actual[i, j], expected[i, j]);
}
}
}
private static void test(string actual, string expected)
{
string basePath = Path.Combine(TestContext.CurrentContext.TestDirectory, "Resources", "PNM");
string fileName = Path.Combine(basePath, actual);
Bitmap actualImage = ImageDecoder.DecodeFromFile(fileName);
string expectedFileName = Path.Combine(basePath, expected);
Bitmap expectedImage = (Bitmap)Bitmap.FromFile(expectedFileName);
var i2m = new ImageToMatrix();
byte[,] actualMatrix;
i2m.Convert(actualImage, out actualMatrix);
byte[,] expectedMatrix;
i2m.Convert(expectedImage, out expectedMatrix);
Assert.IsTrue(expectedMatrix.IsEqual(actualMatrix, (byte)1));
}
public void ConvertTest2()
{
// Load a test image
Bitmap sourceImage = Accord.Imaging.Image.Clone(Properties.Resources.image1);
// Make sure values are binary
new Threshold().ApplyInPlace(sourceImage);
// Create the converters
ImageToMatrix imageToMatrix = new ImageToMatrix()
{
Min = 0, Max = 255
};
MatrixToImage matrixToImage = new MatrixToImage()
{
Min = 0, Max = 255
};
// Convert to matrix
double[,] matrix; // initialization is not needed
imageToMatrix.Convert(sourceImage, out matrix);
// Revert to image
Bitmap resultImage; // initialization is not needed
matrixToImage.Convert(matrix, out resultImage);
// Show both images, which should be equal
// ImageBox.Show(sourceImage, PictureBoxSizeMode.Zoom);
// ImageBox.Show(resultImage, PictureBoxSizeMode.Zoom);
UnmanagedImage img1 = UnmanagedImage.FromManagedImage(sourceImage);
UnmanagedImage img2 = UnmanagedImage.FromManagedImage(resultImage);
List <IntPoint> p1 = img1.CollectActivePixels();
List <IntPoint> p2 = img2.CollectActivePixels();
bool equals = new HashSet <IntPoint>(p1).SetEquals(p2);
Assert.IsTrue(equals);
}
public byte[,] Dat2Mat(string path)
{
try
{
Matrix2Bitmap = new MatrixToImage();
Bitmap2matrix = new ImageToMatrix();
Stream loadstream = new FileStream(path, FileMode.Open);
byte[] oneshotVector = new byte[ImgInfo.WH];
loadstream.Read(oneshotVector, 0, oneshotVector.Length);
loadstream.Dispose();
byte[,] temp = Vec2Mat(oneshotVector, ImgInfo.W, ImgInfo.H); // ok
oneshotVector = null;
return(temp);
}
catch (Exception ex)
{
MessageBox.Show(ex.ToString());
return(new byte[0, 0]);
}
}
public void ConvertTest()
{
ImageToMatrix target = new ImageToMatrix(min: 0, max: 255);
Bitmap image = Accord.Imaging.Image.Clone(Properties.Resources.image1);
new Invert().ApplyInPlace(image);
new Threshold().ApplyInPlace(image);
double[,] output;
double[,] outputExpected =
{
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 0
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 1
{ 0, 0, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 0, 0 }, // 2
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 3
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 4
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 5
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 6
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 7
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 8
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 9
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 10
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 11
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 12
{ 0, 0, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 0, 0 }, // 13
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 14
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 15
};
target.Convert(image, out output);
for (int i = 0; i < outputExpected.GetLength(0); i++)
{
for (int j = 0; j < outputExpected.GetLength(1); j++)
{
Assert.AreEqual(outputExpected[i, j], output[i, j]);
}
}
}
private void ReadImageToEntity(string filePath)
{
Bitmap image = new Bitmap(filePath);
ImageToMatrix conv = new ImageToMatrix();
double[,] res;
conv.Convert(image, out res);
for (var i = 0; i < image.Height; i++)
{
interferogram.Add(new List <Complex>());
for (var j = 0; j < image.Width; j++)
{
var k = (i + 1) * j;
interferogram[i].Add(new Complex {
Real = res[i, j]
});
}
}
}
public static float[,,,,] PrepareImages(List <DicomImage> dicomList)
{
dicomList = GetDistribution(dicomList);
List <double[, ]> res = new List <double[, ]>();
foreach (DicomImage dicomImage in dicomList)
{
Bitmap bmp = dicomImage.RenderImage().AsSharedBitmap();
bmp = ResizeBitmap(bmp, 256, 256);
bmp.RotateFlip(RotateFlipType.Rotate90FlipX);
ImageToMatrix conv = new ImageToMatrix(min: 0, max: 1);
double[,] matrix;
conv.Convert(bmp, out matrix);
res.Add(matrix);
}
var resArr = res.ToArray();
float[,,,,] arr = new float[1, 16, 256, 256, 1];
for (byte i = 0; i < 16; i++)
{
for (int j = 0; j < 256; j++)
{
for (int k = 0; k < 256; k++)
{
arr[0, i, j, k, 0] = (float)resArr[i][j, k];
}
}
}
return(arr);
}
public Bitmap[] ExtractCharacters(Bitmap imageBitmap, ColorsEnum?color = null)
{
ImageToMatrix imageToMatrix = new ImageToMatrix();
imageBitmap = new Bitmap(imageBitmap, new Size(260, 51));
List <Bitmap> charactersBitmap = new List <Bitmap>();
foreach (int delimiter in _delimiters)
{
Bitmap character = imageBitmap
.Clone(new Rectangle {
X = delimiter, Y = 8, Width = 27, Height = 29
}, imageBitmap.PixelFormat);
charactersBitmap.Add(character);
}
if (color != null)
{
List <Bitmap> charactersBitmapColor = new List <Bitmap>();
foreach (Bitmap character in charactersBitmap)
{
imageToMatrix.Convert(character, out Color[][] imageColors);
Color characterColor = imageColors.SelectMany(c => c).GroupBy(c => c.Name).OrderByDescending(g => g.Count()).ElementAt(1).ElementAt(0);
ColorsEnum result = ColorDecoder.Decode(characterColor);
if (result.Equals(color))
{
charactersBitmapColor.Add(character);
}
}
charactersBitmap = charactersBitmapColor;
}
return(charactersBitmap.ToArray());
}
public static bool RotateTest32bpp(IFilter filter, Bitmap input, Bitmap output)
{
var itm = new ImageToMatrix();
// Test directly
Color[,] actual;
itm.Convert(filter.Apply(input), out actual);
Color[,] expected;
itm.Convert(output, out expected);
if (!actual.IsEqual(expected))
return false;
// Rotate and re-test
var rotate = new RotateNearestNeighbor(90, false);
input = rotate.Apply(input);
output = rotate.Apply(output);
itm.Convert(filter.Apply(input), out actual);
itm.Convert(output, out expected);
return actual.IsEqual(expected);
}
public void doc_example()
{
string basePath = Path.Combine(TestContext.CurrentContext.TestDirectory, "Resources", "PNM");
#region doc_load
string filename = Path.Combine(basePath, "lena.pgm");
// One way to decode the image explicitly is to use
Bitmap image1 = ImageDecoder.DecodeFromFile(filename);
// However, you could also obtain the same effect using
Bitmap image2 = Accord.Imaging.Image.FromFile(filename);
#endregion
var i2m = new ImageToMatrix();
byte[,] actualMatrix;
i2m.Convert(image1, out actualMatrix);
byte[,] expectedMatrix;
i2m.Convert(image2, out expectedMatrix);
Assert.IsTrue(expectedMatrix.IsEqual(actualMatrix, (byte)1));
}
public List <List <byte[, ]> > ListDownScaledZoomedMat(List <List <string> > input, ZoomData data)
{
/* data에 들어있는 리얼 포지션 좌표 값은 스케일링이 안되있다. */
/* 1. 각 원본 DAt 파일에 어느 좌표부터 어느 좌표까지 가져와야 하는지 계산 */
/* 2. 데이터를 가져온다음에 리사이즈 */
/**/
/**/
/**/
/**/
//Check Start End File Pos and scale ===
data.Scale = CalcScale(input, data);
double scale = data.Scale; // 여기서 스케일이 정해진다. 이것은 실제 데이터 가져온후 이미지 -> 스케일변환 ->
Console.WriteLine("Scale Value is " + $" {scale} ");
/* Class Instance*/
FormatConvert fcv = new FormatConvert();
Matrix2Bitmap = new MatrixToImage();
Bitmap2matrix = new ImageToMatrix();
int width = data.Ex - data.Sx;
int height = data.Ey - data.Sy;
int WCount = data.endNumX - data.startNumX;
int HCount = data.endNumY - data.startNumY;
int strPosX = 0;
int strPosY = 0;
int endPosX = 0;
int endPosY = 0;
List <List <byte[, ]> > box = new List <List <byte[, ]> >();
if ((data.endNumX - data.startNumX) == 0 && (data.endNumY - data.startNumY) == 0)
{
/*OK*/
#region
List <byte[, ]> tempbox = new List <byte[, ]>();
string path = input[data.startNumX][data.startNumY];
strPosX = data.Sx - data.startNumX * data.Wo;
strPosY = data.Sy - data.startNumY * data.Ho;
endPosX = data.Ex - data.endNumX * data.Wo;
endPosY = data.Ey - data.endNumY * data.Ho;
tempbox.Add(PutinListBox(path, fcv, strPosX, strPosY, endPosX, endPosY, scale));
box.Add(tempbox);
#endregion
}
else if ((data.endNumY - data.startNumY) == 0)
{
/*OK*/
#region
for (int i = data.startNumX; i <= data.endNumX; i++)
{
string path = input[i][data.startNumY];
List <byte[, ]> tempbox = new List <byte[, ]>();
if (i == data.startNumX)
{
strPosX = data.Sx - data.startNumX * data.Wo;
strPosY = data.Sy - data.startNumY * data.Ho;
endPosX = data.Wo;
endPosY = data.Ey - data.endNumY * data.Ho;
tempbox.Add(PutinListBox(path, fcv, strPosX, strPosY, endPosX, endPosY, scale));
}
else if (i == data.endNumX)
{
strPosX = 0;
strPosY = data.Sy - data.startNumY * data.Ho;
endPosX = data.Ex - data.endNumX * data.Wo;
endPosY = data.Ey - data.endNumY * data.Ho;
tempbox.Add(PutinListBox(path, fcv, strPosX, strPosY, endPosX, endPosY, scale));
}
else
{
strPosX = 0;
strPosY = data.Sy - data.startNumY * data.Ho;
endPosX = data.Wo;
endPosY = data.Ey - data.endNumY * data.Ho;
tempbox.Add(PutinListBox(path, fcv, strPosX, strPosY, endPosX, endPosY, scale));
}
box.Add(tempbox);
}
#endregion
}
else if ((data.endNumX - data.startNumX) == 0)
{
/*OK*/
#region
List <byte[, ]> tempbox = new List <byte[, ]>();
for (int j = data.startNumY; j <= data.endNumY; j++)
{
string path = input[data.startNumX][j];
if (j == data.startNumY)
{
strPosX = data.Sx - data.startNumX * data.Wo;
strPosY = data.Sy - data.startNumY * data.Ho;
endPosX = data.Ex - data.startNumX * data.Wo;
endPosY = data.Ho;
tempbox.Add(PutinListBox(path, fcv, strPosX, strPosY, endPosX, endPosY, scale));
}
else if (j == data.endNumY)
{
strPosX = data.Sx - data.startNumX * data.Wo;
strPosY = 0;
endPosX = data.Ex - data.startNumX * data.Wo;
endPosY = data.Ey - data.endNumY * data.Ho;
tempbox.Add(PutinListBox(path, fcv, strPosX, strPosY, endPosX, endPosY, scale));
}
else
{
strPosX = data.Sx - data.startNumX * data.Wo;
strPosY = 0;
endPosX = data.Ex - data.startNumX * data.Wo;
endPosY = data.Ho;
tempbox.Add(PutinListBox(path, fcv, strPosX, strPosY, endPosX, endPosY, scale));
}
}
box.Add(tempbox);
#endregion
}
else
{
for (int i = data.startNumX; i <= data.endNumX; i++)
{
List <byte[, ]> tempbox = new List <byte[, ]>();
if (i == data.startNumX)
{
#region Start X Pos
for (int j = data.startNumY; j <= data.endNumY; j++)
{
string path = input[i][j];
if (j == data.startNumY)
{
/* Pixel Position in One File Matrix*/
strPosX = data.Sx - i * data.Wo;
strPosY = data.Sy - j * data.Ho;
endPosX = data.Wo;
endPosY = data.Ho;
tempbox.Add(PutinListBox(path, fcv, strPosX, strPosY, endPosX, endPosY, scale));
}
else if (j == data.endNumY)
{
strPosX = data.Sx - i * data.Wo;
strPosY = 0;
endPosX = data.Wo;
endPosY = data.Ey - j * data.Ho;
tempbox.Add(PutinListBox(path, fcv, strPosX, strPosY, endPosX, endPosY, scale));
}
else
{
strPosX = data.Sx - i * data.Wo;
strPosY = 0;
endPosX = data.Wo;
endPosY = data.Ho;
tempbox.Add(PutinListBox(path, fcv, strPosX, strPosY, endPosX, endPosY, scale));
}
}
#endregion
}
else if (i == data.endNumX)
{
#region End X Pos
for (int j = data.startNumY; j <= data.endNumY; j++)
{
string path = input[i][j];
if (j == data.startNumY)
{
strPosX = 0;
strPosY = data.Sy - j * data.Ho;
endPosX = data.Ex - i * data.Wo;
endPosY = data.Ho;
tempbox.Add(PutinListBox(path, fcv, strPosX, strPosY, endPosX, endPosY, scale));
}
else if (j == data.endNumY)
{
strPosX = 0;
strPosY = 0;
endPosX = data.Ex - i * data.Wo;
endPosY = data.Ey - j * data.Ho;
tempbox.Add(PutinListBox(path, fcv, strPosX, strPosY, endPosX, endPosY, scale));
}
else
{
strPosX = 0;
strPosY = 0;
endPosX = data.Ex - i * data.Wo;
endPosY = data.Ho;
tempbox.Add(PutinListBox(path, fcv, strPosX, strPosY, endPosX, endPosY, scale));
}
}
#endregion
}
else
{
#region Middle
for (int j = data.startNumY; j <= data.endNumY; j++)
{
string path = input[i][j];
if (j == data.startNumY)
{
strPosX = 0;
strPosY = data.Sy - j * data.Ho;
endPosX = data.Wo;
endPosY = data.Ho;
tempbox.Add(PutinListBox(path, fcv, strPosX, strPosY, endPosX, endPosY, scale));
}
else if (j == data.endNumY)
{
strPosX = 0;
strPosY = 0;
endPosX = data.Wo;
endPosY = data.Ey - j * data.Ho;
tempbox.Add(PutinListBox(path, fcv, strPosX, strPosY, endPosX, endPosY, scale));
}
else
{
strPosX = 0;
strPosY = 0;
endPosX = data.Wo;
endPosY = data.Ho;
tempbox.Add(PutinListBox(path, fcv, strPosX, strPosY, endPosX, endPosY, scale));
}
}
#endregion
}
box.Add(tempbox);
}
}
return(box);
}
static void Main(string[] args)
{
var qualityLevels = new Dictionary <int, int[, ]>
{
{ 50, Q50 }
};
foreach (int level in new[] { 10, 20, 30, 40 })
{
int[,] newQ = new int[8, 8];
for (int i = 0; i < 8; i++)
{
for (int j = 0; j < 8; j++)
{
newQ[i, j] = (int)Math.Min(Q50[i, j] * (50d / level), 256d);
}
}
qualityLevels.Add(level, newQ);
}
foreach (int level in new[] { 60, 70, 80, 90, 95 })
{
int[,] newQ = new int[8, 8];
for (int i = 0; i < 8; i++)
{
for (int j = 0; j < 8; j++)
{
newQ[i, j] = (int)Math.Min(Q50[i, j] * ((100d - level) / 50d), 256d);
}
}
qualityLevels.Add(level, newQ);
}
var imageToMatrix = new ImageToMatrix();
var bitmap = new Bitmap(File.OpenRead("sample_blackwhite.bmp"));
double[,] output;
imageToMatrix.Convert(bitmap, out output);
var dct = GetDctMatrix();
var matrixMultiplied = Matrix.Dot(output, dct);
foreach (var q in qualityLevels)
{
double[,] rounded = new double[8, 8];
for (int row = 0; row < 8; row++)
{
for (int column = 0; column < 8; column++)
{
int divided = (int)Math.Round(matrixMultiplied[row, column] * 256d / q.Value[row, column], 0);
int multipliedAgain = divided * q.Value[row, column];
rounded[row, column] = multipliedAgain / 256d;
}
}
var newMatrix = Matrix.Divide(rounded, dct);
var mtoi = new MatrixToImage();
Bitmap bitmap2;
mtoi.Convert(newMatrix, out bitmap2);
bitmap2.Save($"sample_blackwhite_q{q.Key}.bmp");
}
}
public void ConvertTest2()
{
// Load a test image
Bitmap sourceImage = Properties.Resources.image1;
// Make sure values are binary
new Threshold().ApplyInPlace(sourceImage);
// Create the converters
ImageToMatrix imageToMatrix = new ImageToMatrix() { Min = 0, Max = 255 };
MatrixToImage matrixToImage = new MatrixToImage() { Min = 0, Max = 255 };
// Convert to matrix
double[,] matrix; // initialization is not needed
imageToMatrix.Convert(sourceImage, out matrix);
// Revert to image
Bitmap resultImage; // initialization is not needed
matrixToImage.Convert(matrix, out resultImage);
// Show both images, which should be equal
// ImageBox.Show(sourceImage, PictureBoxSizeMode.Zoom);
// ImageBox.Show(resultImage, PictureBoxSizeMode.Zoom);
UnmanagedImage img1 = UnmanagedImage.FromManagedImage(sourceImage);
UnmanagedImage img2 = UnmanagedImage.FromManagedImage(resultImage);
List<IntPoint> p1 = img1.CollectActivePixels();
List<IntPoint> p2 = img2.CollectActivePixels();
bool equals = new HashSet<IntPoint>(p1).SetEquals(p2);
Assert.IsTrue(equals);
}
public void ConvertTest4()
{
ImageToMatrix target = new ImageToMatrix(min: 0, max: 255);
Bitmap image = Accord.Imaging.Image.Clone(Properties.Resources.image3);
Assert.AreEqual(PixelFormat.Format32bppArgb, image.PixelFormat);
{
double[,] output;
double[,] outputExpected =
{
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 0
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 1
{ 0, 0, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 2
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 3
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 4
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 5
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 6
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 7
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 8
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 9
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 10
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 11
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 12
{ 0, 0, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 13
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 14
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 15
};
target.Channel = RGB.R;
target.Convert(image, out output);
for (int i = 0; i < outputExpected.GetLength(0); i++)
{
for (int j = 0; j < outputExpected.GetLength(1); j++)
{
Assert.AreEqual(outputExpected[i, j], output[i, j]);
}
}
}
{
double[,] output;
double[,] outputExpected =
{
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 0
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 1
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 0, 0 }, // 2
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 3
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 4
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 5
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 6
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 7
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 8
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 9
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 10
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 11
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 12
{ 0, 0, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 13
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 14
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 15
};
target.Channel = RGB.G;
target.Convert(image, out output);
for (int i = 0; i < outputExpected.GetLength(0); i++)
{
for (int j = 0; j < outputExpected.GetLength(1); j++)
{
Assert.AreEqual(outputExpected[i, j], output[i, j]);
}
}
}
{
double[,] output;
double[,] outputExpected =
{
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 0
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 1
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 2
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 3
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 4
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 5
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 6
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 7
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 8
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 9
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 10
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 11
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 12
{ 0, 0, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 0, 0 }, // 13
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 14
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 15
};
target.Channel = RGB.B;
target.Convert(image, out output);
for (int i = 0; i < outputExpected.GetLength(0); i++)
{
for (int j = 0; j < outputExpected.GetLength(1); j++)
{
Assert.AreEqual(outputExpected[i, j], output[i, j]);
}
}
}
}
public void ConvertTest3()
{
double[] pixels =
{
0, 0, 0, 0,
0, 1, 1, 0,
0, 1, 1, 0,
0, 0, 0, 0,
};
ArrayToImage conv1 = new ArrayToImage(width: 4, height: 4);
Bitmap image;
conv1.Convert(pixels, out image);
image = new ResizeNearestNeighbor(16, 16).Apply(image);
// Obtain an image
// Bitmap image = ...
// Show on screen
//ImageBox.Show(image, PictureBoxSizeMode.Zoom);
// Create the converter to convert the image to a
// matrix containing only values between 0 and 1
ImageToMatrix conv = new ImageToMatrix(min: 0, max: 1);
// Convert the image and store it in the matrix
double[,] matrix; conv.Convert(image, out matrix);
/*
// Show the matrix on screen as an image
ImageBox.Show(matrix, PictureBoxSizeMode.Zoom);
// Show the matrix on screen as a .NET multidimensional array
MessageBox.Show(matrix.ToString(CSharpMatrixFormatProvider.InvariantCulture));
// Show the matrix on screen as a table
DataGridBox.Show(matrix, nonBlocking: true)
.SetAutoSizeColumns(DataGridViewAutoSizeColumnsMode.Fill)
.SetAutoSizeRows(DataGridViewAutoSizeRowsMode.AllCellsExceptHeaders)
.SetDefaultFontSize(5)
.WaitForClose();
*/
Assert.AreEqual(0, matrix.Min());
Assert.AreEqual(1, matrix.Max());
Assert.AreEqual(16 * 16, matrix.Length);
}
public void ConvertTest4()
{
ImageToMatrix target = new ImageToMatrix(min: 0, max: 255);
Bitmap image = Properties.Resources.image3;
Assert.AreEqual(PixelFormat.Format32bppArgb, image.PixelFormat);
{
double[,] output;
double[,] outputExpected =
{
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 0
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 1
{ 0, 0, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 2
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 3
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 4
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 5
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 6
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 7
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 8
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 9
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 10
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 11
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 12
{ 0, 0, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 13
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 14
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 15
};
target.Channel = RGB.R;
target.Convert(image, out output);
for (int i = 0; i < outputExpected.GetLength(0); i++)
for (int j = 0; j < outputExpected.GetLength(1); j++)
Assert.AreEqual(outputExpected[i, j], output[i, j]);
}
{
double[,] output;
double[,] outputExpected =
{
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 0
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 1
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 0, 0 }, // 2
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 3
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 4
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 5
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 6
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 7
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 8
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 9
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 10
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 11
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 12
{ 0, 0, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 13
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 14
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 15
};
target.Channel = RGB.G;
target.Convert(image, out output);
for (int i = 0; i < outputExpected.GetLength(0); i++)
for (int j = 0; j < outputExpected.GetLength(1); j++)
Assert.AreEqual(outputExpected[i, j], output[i, j]);
}
{
double[,] output;
double[,] outputExpected =
{
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 0
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 1
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 2
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 3
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 4
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 5
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 6
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 7
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 8
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 9
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 10
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 11
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 12
{ 0, 0, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 0, 0 }, // 13
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 14
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 15
};
target.Channel = RGB.B;
target.Convert(image, out output);
for (int i = 0; i < outputExpected.GetLength(0); i++)
for (int j = 0; j < outputExpected.GetLength(1); j++)
Assert.AreEqual(outputExpected[i, j], output[i, j]);
}
}
public void ConvertTest()
{
ImageToMatrix target = new ImageToMatrix(min: 0, max: 255);
Bitmap image = Properties.Resources.image1;
new Invert().ApplyInPlace(image);
new Threshold().ApplyInPlace(image);
double[,] output;
double[,] outputExpected =
{
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 0
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 1
{ 0, 0, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 0, 0 }, // 2
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 3
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 4
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 5
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 6
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 7
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 8
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 9
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 10
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 11
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 12
{ 0, 0, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 0, 0 }, // 13
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 14
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 15
};
target.Convert(image, out output);
for (int i = 0; i < outputExpected.GetLength(0); i++)
for (int j = 0; j < outputExpected.GetLength(1); j++)
Assert.AreEqual(outputExpected[i, j], output[i, j]);
}
public void ConvertTest1()
{
MatrixToImage target = new MatrixToImage();
double[,] pixels =
{
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 0
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 1
{ 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0 }, // 2
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 3
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 4
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 5
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 6
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 7
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 8
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 9
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 10
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 11
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 12
{ 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0 }, // 13
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 14
{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }, // 15
};
Bitmap imageActual;
target.Convert(pixels, out imageActual);
double[,] actual;
ImageToMatrix c = new ImageToMatrix();
c.Convert(imageActual, out actual);
double[,] expected;
Bitmap imageExpected = Properties.Resources.image1;
new Threshold().ApplyInPlace(imageExpected);
new Invert().ApplyInPlace(imageExpected);
c.Convert(imageExpected, out expected);
for (int i = 0; i < pixels.GetLength(0); i++)
for (int j = 0; j < pixels.GetLength(1); j++)
Assert.AreEqual(actual[i, j], expected[i, j]);
}