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Made black-var calculations public

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Darth Affe 2023-09-13 00:12:48 +02:00
parent 5e6acc6055
commit 9d8c45da39
1 changed files with 59 additions and 11 deletions
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70
ScreenCapture.NET/Extensions/BlackBarDetection.cs
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@ -27,7 +27,13 @@ public static class BlackBarDetection
return image[left, top, right - left, bottom - top];
}
private static int CalculateTop(IImage image, int threshold)
/// <summary>
/// Calculates the first row starting from the top with at least one non black pixel.
/// </summary>
/// <param name="image">The image to check.</param>
/// <param name="threshold">The threshold of "blackness" used to detect black bars. (e. g. Threshold 5 will consider a pixel of color [5,5,5] as black.)</param>
/// <returns>The row number of the first row with at least one non-black pixel.</returns>
public static int CalculateTop(IImage image, int threshold)
{
IImage.IImageRows rows = image.Rows;
for (int y = 0; y < rows.Count; y++)
@ -43,7 +49,13 @@ public static class BlackBarDetection
return 0;
}
private static int CalculateBottom(IImage image, int threshold)
/// <summary>
/// Calculates the last row starting from the top with at least one non black pixel.
/// </summary>
/// <param name="image">The image to check.</param>
/// <param name="threshold">The threshold of "blackness" used to detect black bars. (e. g. Threshold 5 will consider a pixel of color [5,5,5] as black.)</param>
/// <returns>The row number of the last row with at least one non-black pixel.</returns>
public static int CalculateBottom(IImage image, int threshold)
{
IImage.IImageRows rows = image.Rows;
for (int y = rows.Count - 1; y >= 0; y--)
@ -59,7 +71,13 @@ public static class BlackBarDetection
return rows.Count;
}
private static int CalculateLeft(IImage image, int threshold)
/// <summary>
/// Calculates the first column starting from the left with at least one non black pixel.
/// </summary>
/// <param name="image">The image to check.</param>
/// <param name="threshold">The threshold of "blackness" used to detect black bars. (e. g. Threshold 5 will consider a pixel of color [5,5,5] as black.)</param>
/// <returns>The column number of the first column with at least one non-black pixel.</returns>
public static int CalculateLeft(IImage image, int threshold)
{
IImage.IImageColumns columns = image.Columns;
for (int x = 0; x < columns.Count; x++)
@ -75,7 +93,13 @@ public static class BlackBarDetection
return 0;
}
private static int CalculateRight(IImage image, int threshold)
/// <summary>
/// Calculates the last column starting from the top with at least one non black pixel.
/// </summary>
/// <param name="image">The image to check.</param>
/// <param name="threshold">The threshold of "blackness" used to detect black bars. (e. g. Threshold 5 will consider a pixel of color [5,5,5] as black.)</param>
/// <returns>The column number of the last column with at least one non-black pixel.</returns>
public static int CalculateRight(IImage image, int threshold)
{
IImage.IImageColumns columns = image.Columns;
for (int x = columns.Count - 1; x >= 0; x--)
@ -109,14 +133,20 @@ public static class BlackBarDetection
where TColor : struct, IColor
{
int top = removeTop ? CalculateTop(image, threshold) : 0;
int bottom = removeBottom ? CalculateBottom(image, threshold) : image.Height;
int bottom = removeBottom ? CalculateBottom(image, threshold) : image.Height - 1;
int left = removeLeft ? CalculateLeft(image, threshold) : 0;
int right = removeRight ? CalculateRight(image, threshold) : image.Width;
int right = removeRight ? CalculateRight(image, threshold) : image.Width - 1;
return image[left, top, right - left, bottom - top];
return image[left, top, (right - left) + 1, (bottom - top) + 1];
}
private static int CalculateTop<TColor>(this RefImage<TColor> image, int threshold)
/// <summary>
/// Calculates the first row starting from the top with at least one non black pixel.
/// </summary>
/// <param name="image">The image to check.</param>
/// <param name="threshold">The threshold of "blackness" used to detect black bars. (e. g. Threshold 5 will consider a pixel of color [5,5,5] as black.)</param>
/// <returns>The row number of the first row with at least one non-black pixel.</returns>
public static int CalculateTop<TColor>(this RefImage<TColor> image, int threshold)
where TColor : struct, IColor
{
RefImage<TColor>.ImageRows rows = image.Rows;
@ -133,7 +163,13 @@ public static class BlackBarDetection
return 0;
}
private static int CalculateBottom<TColor>(this RefImage<TColor> image, int threshold)
/// <summary>
/// Calculates the last row starting from the top with at least one non black pixel.
/// </summary>
/// <param name="image">The image to check.</param>
/// <param name="threshold">The threshold of "blackness" used to detect black bars. (e. g. Threshold 5 will consider a pixel of color [5,5,5] as black.)</param>
/// <returns>The row number of the last row with at least one non-black pixel.</returns>
public static int CalculateBottom<TColor>(this RefImage<TColor> image, int threshold)
where TColor : struct, IColor
{
RefImage<TColor>.ImageRows rows = image.Rows;
@ -150,7 +186,13 @@ public static class BlackBarDetection
return rows.Count;
}
private static int CalculateLeft<TColor>(this RefImage<TColor> image, int threshold)
/// <summary>
/// Calculates the first column starting from the left with at least one non black pixel.
/// </summary>
/// <param name="image">The image to check.</param>
/// <param name="threshold">The threshold of "blackness" used to detect black bars. (e. g. Threshold 5 will consider a pixel of color [5,5,5] as black.)</param>
/// <returns>The column number of the first column with at least one non-black pixel.</returns>
public static int CalculateLeft<TColor>(this RefImage<TColor> image, int threshold)
where TColor : struct, IColor
{
RefImage<TColor>.ImageColumns columns = image.Columns;
@ -167,7 +209,13 @@ public static class BlackBarDetection
return 0;
}
private static int CalculateRight<TColor>(this RefImage<TColor> image, int threshold)
/// <summary>
/// Calculates the last column starting from the top with at least one non black pixel.
/// </summary>
/// <param name="image">The image to check.</param>
/// <param name="threshold">The threshold of "blackness" used to detect black bars. (e. g. Threshold 5 will consider a pixel of color [5,5,5] as black.)</param>
/// <returns>The column number of the last column with at least one non-black pixel.</returns>
public static int CalculateRight<TColor>(this RefImage<TColor> image, int threshold)
where TColor : struct, IColor
{
RefImage<TColor>.ImageColumns columns = image.Columns;