/// <summary>
/// Applies localized/adaptive region thresholding to image using Chow & Kaneko method.
/// </summary>
/// <typeparam name="T">Image type to process and return</typeparam>
/// <param name="image">Image to process</param>
/// <param name="horizontalRegions">Number of horizonal regions to apply</param>
/// <param name="verticalRegions">Number of veritical regions to apply</param>
/// <returns>New image with localized threshold applied</returns>
public static T ApplyChowKanekoMethod <T>(T image, int horizontalRegions, int verticalRegions) where T : Image
{
Bitmap bitmap = ImageFormatting.ToBitmap(image);
ApplyChowKanekoMethodDirect(ref bitmap, horizontalRegions, verticalRegions);
return((T)ImageFormatting.Convert(bitmap, image.RawFormat));
}
/// <summary>
/// Applies thresholding to image using Otsu's Method.
/// Returned image will consist of black (0) and white (255) values only.
/// </summary>
/// <typeparam name="T">Image type to process and return</typeparam>
/// <param name="image">Image to process</param>
/// <returns>New image with threshold applied</returns>
public static T ApplyOtsuMethod <T>(T image) where T : Image
{
Bitmap bitmap = ImageFormatting.ToBitmap(image);
ApplyOtsuMethodDirect(ref bitmap);
return((T)ImageFormatting.Convert(bitmap, image.RawFormat));
}
/// <summary>
/// Any pixel values outside the threshold will be changed to min/max.
/// </summary>
/// <typeparam name="T">Image type to process and return</typeparam>
/// <param name="image">Image to process</param>
/// <param name="minValue">Minimum threshold value</param>
/// <param name="maxValue">Maximum threshold value</param>
/// <returns>New image with threshold applied</returns>
public static T ApplyMinMax <T>(T image, byte minValue, byte maxValue) where T : Image
{
Bitmap bitmap = ImageFormatting.ToBitmap(image);
ApplyMinMaxDirect(ref bitmap, minValue, maxValue);
return((T)ImageFormatting.Convert(bitmap, image.RawFormat));
}
/// <summary>
/// Any pixel values below threshold will be changed to 0 (black).
/// Any pixel values above (or equal to) threshold will be changed to 255 (white).
/// </summary>
/// <typeparam name="T">Image type to process and return</typeparam>
/// <param name="image">Image to process</param>
/// <param name="threshold">Threshold value</param>
/// <returns>New image with threshold applied</returns>
public static T Apply <T>(T image, byte threshold) where T : Image
{
Bitmap bitmap = ImageFormatting.ToBitmap(image);
ApplyDirect(ref bitmap, threshold);
return((T)ImageFormatting.Convert(bitmap, image.RawFormat));
}
/// <summary>
/// Stretches image contrast to specified min/max values.
/// </summary>
/// <typeparam name="T">Image type to process and return</typeparam>
/// <param name="image">Image to process</param>
/// <param name="min">Minimum contrast value</param>
/// <param name="max">Maximum contrast value</param>
/// <returns>Contrast-stretched image</returns>
public static T Stretch <T>(T image, byte min, byte max) where T : Image
{
Bitmap bitmap = ImageFormatting.ToBitmap(image);
StretchDirect(ref bitmap, min, max);
return((T)ImageFormatting.Convert(bitmap, image.RawFormat));
}
/// <summary>
/// Histogram Equalization will enhance general contrast
/// by distributing grey levels wider and more evenly.
/// </summary>
/// <typeparam name="T">Image type to process and return</typeparam>
/// <param name="image">Image to equalize</param>
/// <returns>Equalized image</returns>
public static T HistogramEqualization <T>(T image) where T : Image
{
Bitmap bitmap = ImageFormatting.ToBitmap(image);
HistogramEqualizationDirect(ref bitmap);
return((T)ImageFormatting.Convert(bitmap, image.RawFormat));
}
/// <summary>
/// Inverts image to negative.
/// </summary>
/// <typeparam name="T">Image type to process and return</typeparam>
/// <param name="image">Image to convert</param>
/// <returns>Negative image</returns>
public static T ToNegative <T>(T image) where T : Image
{
Bitmap bitmap = ImageFormatting.ToBitmap(image);
ToNegativeDirect(ref bitmap);
return((T)ImageFormatting.Convert(bitmap, image.RawFormat));
}
/// <summary>
/// Applies color filter to image.
/// </summary>
/// <typeparam name="T">Image type to process and return</typeparam>
/// <param name="image">Image to process</param>
/// <param name="r">Red component to apply</param>
/// <param name="g">Green component to apply</param>
/// <param name="b">Blue component to apply</param>
/// <returns>New image with filter applied</returns>
public static T ApplyFilterRGB <T>(T image, byte r, byte g, byte b) where T : Image
{
Bitmap bitmap = ImageFormatting.ToBitmap(image);
ApplyFilterDirectRGB(ref bitmap, r, g, b);
return((T)ImageFormatting.Convert(bitmap, image.RawFormat));
}
