public double Diff(GreyImage other)
{
byte[] src = (byte[])this.Data;
byte[] dst = (byte[])other.Data;
int diff = 0;
int count = 0;
for (int i = 0; i < Length; i++)
{
if (src[i] > 0 || dst[i] > 0)
{
count++;
}
if (src[i] != dst[i])
{
diff++;
}
}
if (count == 0)
{
return(0);
}
return(diff * 1.0 / count);
}
public GreyImage(GreyImage refImage, int l, int t, int w, int h)
{
if (refImage == null)
throw new System.ArgumentException("Input is invalid!");
int width = refImage.Width;
int height = refImage.Height;
if (l < 0) l = 0;
if (l >= width) l = width - 1;
if (t < 0) t = 0;
if (t >= height) t = height - 1;
if (l + w > width) w = width - l;
if (t + h > height) h = height - t;
if (w < 1) w = 1;
if (h < 1) h = 1;
// update image's info
_width = w;
_height = h;
_length = _width * _height;
// update image's data
_data = Utilities.Crop((byte[])refImage.Data, 1, width, height, l, t, w, h);
}
public Histogram(GreyImage image)
{
if (image == null)
throw new System.ArgumentNullException("Input is invalid.");
// calculate histogram's info
this.Calc(image);
}
public Histogram(GreyImage image)
{
if (image == null)
{
throw new System.ArgumentNullException("Input is invalid.");
}
// calculate histogram's info
this.Calc(image);
}
public GreyImage(GreyImage refImage, int l, int t, int w, int h)
{
if (refImage == null)
{
throw new System.ArgumentException("Input is invalid!");
}
int width = refImage.Width;
int height = refImage.Height;
if (l < 0)
{
l = 0;
}
if (l >= width)
{
l = width - 1;
}
if (t < 0)
{
t = 0;
}
if (t >= height)
{
t = height - 1;
}
if (l + w > width)
{
w = width - l;
}
if (t + h > height)
{
h = height - t;
}
if (w < 1)
{
w = 1;
}
if (h < 1)
{
h = 1;
}
// update image's info
_width = w;
_height = h;
_length = _width * _height;
// update image's data
_data = Utilities.Crop((byte[])refImage.Data, 1, width, height, l, t, w, h);
}
public GreyImage(
GreyImage refImage,
int marginX, int marginY,
bool trueIsExpanding_falseIsCropping,
bool interpolationForExpandingOnly)
{
if (refImage == null)
{
throw new System.ArgumentException("Input is invalid!");
}
int new_width = 0;
int new_height = 0;
byte[] new_data = null;
if (trueIsExpanding_falseIsCropping) /* expand */
{
if (interpolationForExpandingOnly)
{
new_data =
Utilities.ExpandAndInterpolate(
(byte[])refImage.Data,
refImage.Width, refImage.Height,
marginX, marginY, ref new_width, ref new_height);
}
else
{
new_data =
Utilities.Expand(
(byte[])refImage.Data,
refImage.Width, refImage.Height,
marginX, marginY, ref new_width, ref new_height);
}
}
else /* crop */
{
new_data =
Utilities.Crop(
(byte[])refImage.Data, 1, refImage.Width, refImage.Height,
marginX, marginY, ref new_width, ref new_height);
}
// update image's info
_width = new_width;
_height = new_height;
_length = _width * _height;
// update image's data
_data = new_data;
}
public GreyImage(GreyImage refImage, bool cloneData)
{
if (refImage == null)
throw new System.ArgumentException("Input is invalid!");
if (cloneData)
{
InitializeAndAllocateMemory(refImage.Width, refImage.Height);
Array.Copy((byte[])refImage.Data, (byte[])_data, this.LengthByBytes);
}
else
{
InitializeWithoutAllocateMemory(refImage.Width, refImage.Height);
_data = refImage.Data;
}
}
public GreyImage(GreyImage refImage, bool cloneData)
{
if (refImage == null)
{
throw new System.ArgumentException("Input is invalid!");
}
if (cloneData)
{
InitializeAndAllocateMemory(refImage.Width, refImage.Height);
Array.Copy((byte[])refImage.Data, (byte[])_data, this.LengthByBytes);
}
else
{
InitializeWithoutAllocateMemory(refImage.Width, refImage.Height);
_data = refImage.Data;
}
}
public void Calc(GreyImage image)
{
if (image == null)
throw new System.ArgumentNullException("Input is invalid.");
// general initialization
this.Initialize();
// get image's info
int width = image.Width;
int height = image.Height;
int length = image.Length;
TotalPixels = width * height;
fixed (byte* data = (byte[])image.Data)
{
for (int i = 0; i < length; i++)
{
Bins[data[i]]++;
TotalIntensity += data[i];
}
}
MeanIntensity = (float)(TotalIntensity * 1.0 / length);
MedianIntensity = -1;
int posMedian = length / 2;
float count = 0;
MinCount = float.MaxValue;
MaxCount = float.MinValue;
double totalSquareIntensity = 0;
for (int i = 0; i < NumBins; i++)
{
if (Bins[i] == 0) continue;
if (MinCount > Bins[i])
{
MinCount = Bins[i];
MinBin = i;
}
if (MaxCount < Bins[i])
{
MaxCount = Bins[i];
MaxBin = i;
}
if (MinIntensity >= i) MinIntensity = i;
if (MaxIntensity <= i) MaxIntensity = i;
totalSquareIntensity += Bins[i] * (i * i);
if (MedianIntensity < 0)
{
count += Bins[i];
if (count > posMedian) MedianIntensity = i;
}
}
double squareStdv =
length * MeanIntensity * MeanIntensity
- 2.0 * MeanIntensity * TotalIntensity
+ totalSquareIntensity;
IntensityStdv = (float)Math.Sqrt(squareStdv);
// search median of bin count
// In case of the bins's size is large,
// search engine should be implement based on The Z algorithm
float[] tmp = new float[NumBins];
int[] indices = new int[NumBins];
Array.Copy(Bins, tmp, NumBins);
for (int i = 0; i < NumBins; i++)
indices[i] = i;
Array.Sort(tmp, indices);
MedianBin = indices[(NumBins - 1) / 2];
}
public GreyImage(
GreyImage refImage,
int marginX, int marginY,
bool trueIsExpanding_falseIsCropping,
bool interpolationForExpandingOnly)
{
if (refImage == null)
throw new System.ArgumentException("Input is invalid!");
int new_width = 0;
int new_height = 0;
byte[] new_data = null;
if (trueIsExpanding_falseIsCropping) /* expand */
{
if (interpolationForExpandingOnly)
{
new_data =
Utilities.ExpandAndInterpolate(
(byte[])refImage.Data,
refImage.Width, refImage.Height,
marginX, marginY, ref new_width, ref new_height);
}
else
{
new_data =
Utilities.Expand(
(byte[])refImage.Data,
refImage.Width, refImage.Height,
marginX, marginY, ref new_width, ref new_height);
}
}
else /* crop */
{
new_data =
Utilities.Crop(
(byte[])refImage.Data, 1, refImage.Width, refImage.Height,
marginX, marginY, ref new_width, ref new_height);
}
// update image's info
_width = new_width;
_height = new_height;
_length = _width * _height;
// update image's data
_data = new_data;
}
public double Diff(GreyImage other)
{
byte[] src = (byte[])this.Data;
byte[] dst = (byte[])other.Data;
int diff = 0;
int count = 0;
for (int i = 0; i < Length; i++)
{
if (src[i] > 0 || dst[i] > 0)
count++;
if (src[i] != dst[i])
diff++;
}
if (count == 0)
return 0;
return (diff * 1.0 / count);
}
public void Calc(GreyImage image)
{
if (image == null)
{
throw new System.ArgumentNullException("Input is invalid.");
}
// general initialization
this.Initialize();
// get image's info
int width = image.Width;
int height = image.Height;
int length = image.Length;
TotalPixels = width * height;
fixed(byte *data = (byte[])image.Data)
{
for (int i = 0; i < length; i++)
{
Bins[data[i]]++;
TotalIntensity += data[i];
}
}
MeanIntensity = (float)(TotalIntensity * 1.0 / length);
MedianIntensity = -1;
int posMedian = length / 2;
float count = 0;
MinCount = float.MaxValue;
MaxCount = float.MinValue;
double totalSquareIntensity = 0;
for (int i = 0; i < NumBins; i++)
{
if (Bins[i] == 0)
{
continue;
}
if (MinCount > Bins[i])
{
MinCount = Bins[i];
MinBin = i;
}
if (MaxCount < Bins[i])
{
MaxCount = Bins[i];
MaxBin = i;
}
if (MinIntensity >= i)
{
MinIntensity = i;
}
if (MaxIntensity <= i)
{
MaxIntensity = i;
}
totalSquareIntensity += Bins[i] * (i * i);
if (MedianIntensity < 0)
{
count += Bins[i];
if (count > posMedian)
{
MedianIntensity = i;
}
}
}
double squareStdv =
length * MeanIntensity * MeanIntensity
- 2.0 * MeanIntensity * TotalIntensity
+ totalSquareIntensity;
IntensityStdv = (float)Math.Sqrt(squareStdv);
// search median of bin count
// In case of the bins's size is large,
// search engine should be implement based on The Z algorithm
float[] tmp = new float[NumBins];
int[] indices = new int[NumBins];
Array.Copy(Bins, tmp, NumBins);
for (int i = 0; i < NumBins; i++)
{
indices[i] = i;
}
Array.Sort(tmp, indices);
MedianBin = indices[(NumBins - 1) / 2];
}