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<h1 id="ocrimagecs">OcrImage.cs</h1>
<pre><code class="language-cs">/// Author : Maxime Rohmer
/// Date : 08/05/2023
/// File : OcrImage.cs
/// Brief : Class containing all the methods used to enhance images for OCR
/// Version : 0.1
using System;
using System.Collections.Generic;
using System.Threading.Tasks;
using System.Drawing;
using System.Drawing.Drawing2D;
using System.Drawing.Imaging;
namespace Test_Merge
{
public class OcrImage
{
//this is a hardcoded value based on the colors of the F1TV data channel background you can change it if sometime in the future the color changes
//Any color that has any of its R,G or B channel higher than the treshold will be considered as being usefull information
public static Color F1TV_BACKGROUND_TRESHOLD = Color.FromArgb(0x50, 0x50, 0x50);
Bitmap InputBitmap;
public enum WindowType
{
LapTime,
Text,
Sector,
Gap,
Tyre,
}
/// &lt;summary&gt;
/// Create a new Ocr image to help enhance the given bitmap for OCR
/// &lt;/summary&gt;
/// &lt;param name="inputBitmap"&gt;The image you want to enhance&lt;/param&gt;
public OcrImage(Bitmap inputBitmap)
{
InputBitmap = inputBitmap;
}
/// &lt;summary&gt;
/// Enhances the image depending on wich type of window the image comes from
/// &lt;/summary&gt;
/// &lt;param name="type"&gt;The type of the window. Depending on it different enhancing features will be applied&lt;/param&gt;
/// &lt;returns&gt;The enhanced Bitmap&lt;/returns&gt;
public Bitmap Enhance(WindowType type = WindowType.Text)
{
Bitmap outputBitmap = (Bitmap)InputBitmap.Clone();
switch (type)
{
case WindowType.LapTime:
outputBitmap = Tresholding(outputBitmap, 185);
outputBitmap = Resize(outputBitmap, 2);
outputBitmap = Dilatation(outputBitmap, 1);
outputBitmap = Erode(outputBitmap, 1);
break;
case WindowType.Text:
outputBitmap = InvertColors(outputBitmap);
outputBitmap = Tresholding(outputBitmap, 165);
outputBitmap = Resize(outputBitmap, 2);
outputBitmap = Dilatation(outputBitmap, 1);
break;
case WindowType.Tyre:
outputBitmap = RemoveUseless(outputBitmap);
outputBitmap = Resize(outputBitmap, 4);
outputBitmap = Dilatation(outputBitmap, 1);
break;
default:
outputBitmap = Tresholding(outputBitmap, 165);
outputBitmap = Resize(outputBitmap, 4);
outputBitmap = Erode(outputBitmap, 1);
break;
}
return outputBitmap;
}
/// &lt;summary&gt;
/// Method that convert a colored RGB bitmap into a GrayScale image
/// &lt;/summary&gt;
/// &lt;param name="inputBitmap"&gt;The Bitmap you want to convert&lt;/param&gt;
/// &lt;returns&gt;The bitmap in grayscale&lt;/returns&gt;
public static Bitmap Grayscale(Bitmap inputBitmap)
{
Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height);
BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat);
int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8;
unsafe
{
byte* ptr = (byte*)bmpData.Scan0.ToPointer();
for (int y = 0; y &lt; inputBitmap.Height; y++)
{
byte* currentLine = ptr + (y * bmpData.Stride);
for (int x = 0; x &lt; inputBitmap.Width; x++)
{
byte* pixel = currentLine + (x * bytesPerPixel);
byte blue = pixel[0];
byte green = pixel[1];
byte red = pixel[2];
//Those a specific values to correct the weights so its more pleasing to the human eye
int gray = (int)(red * 0.3 + green * 0.59 + blue * 0.11);
pixel[0] = pixel[1] = pixel[2] = (byte)gray;
}
}
}
inputBitmap.UnlockBits(bmpData);
return inputBitmap;
}
/// &lt;summary&gt;
/// Method that binaries the input image up to a certain treshold given
/// &lt;/summary&gt;
/// &lt;param name="inputBitmap"&gt;the bitmap you want to convert to binary colors&lt;/param&gt;
/// &lt;param name="threshold"&gt;The floor at wich the color is considered as white or black&lt;/param&gt;
/// &lt;returns&gt;The binarised bitmap&lt;/returns&gt;
public static Bitmap Tresholding(Bitmap inputBitmap, int threshold)
{
Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height);
BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat);
int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8;
unsafe
{
byte* ptr = (byte*)bmpData.Scan0.ToPointer();
int bmpHeight = inputBitmap.Height;
int bmpWidth = inputBitmap.Width;
Parallel.For(0, bmpHeight, y =&gt;
{
byte* currentLine = ptr + (y * bmpData.Stride);
for (int x = 0; x &lt; bmpWidth; x++)
{
byte* pixel = currentLine + (x * bytesPerPixel);
byte blue = pixel[0];
byte green = pixel[1];
byte red = pixel[2];
//Those a specific values to correct the weights so its more pleasing to the human eye
int gray = (int)(red * 0.3 + green * 0.59 + blue * 0.11);
int value = gray &lt; threshold ? 0 : 255;
pixel[0] = pixel[1] = pixel[2] = (byte)value;
}
});
}
inputBitmap.UnlockBits(bmpData);
return inputBitmap;
}
/// &lt;summary&gt;
/// Method that removes the pixels that are flagged as background
/// &lt;/summary&gt;
/// &lt;param name="inputBitmap"&gt;The bitmap you want to remove the background from&lt;/param&gt;
/// &lt;returns&gt;The Bitmap without the background&lt;/returns&gt;
public static Bitmap RemoveBG(Bitmap inputBitmap)
{
Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height);
BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat);
int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8;
unsafe
{
byte* ptr = (byte*)bmpData.Scan0.ToPointer();
for (int y = 0; y &lt; inputBitmap.Height; y++)
{
byte* currentLine = ptr + (y * bmpData.Stride);
for (int x = 0; x &lt; inputBitmap.Width; x++)
{
byte* pixel = currentLine + (x * bytesPerPixel);
int B = pixel[0];
int G = pixel[1];
int R = pixel[2];
if (R &lt;= F1TV_BACKGROUND_TRESHOLD.R &amp;&amp; G &lt;= F1TV_BACKGROUND_TRESHOLD.G &amp;&amp; B &lt;= F1TV_BACKGROUND_TRESHOLD.B)
pixel[0] = pixel[1] = pixel[2] = 0;
}
}
}
inputBitmap.UnlockBits(bmpData);
return inputBitmap;
}
/// &lt;summary&gt;
/// Method that removes all the useless things from the image and returns hopefully only the numbers
/// &lt;/summary&gt;
/// &lt;param name="inputBitmap"&gt;The bitmap you want to remove useless things from (Expects a cropped part of the TyreWindow)&lt;/param&gt;
/// &lt;returns&gt;The bitmap with (hopefully) only the digits&lt;/returns&gt;
public unsafe static Bitmap RemoveUseless(Bitmap inputBitmap)
{
//Note you can use something else than a cropped tyre window but I would recommend checking the code first to see if it fits your intended use
Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height);
BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat);
int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8;
byte* ptr = (byte*)bmpData.Scan0.ToPointer();
for (int y = 0; y &lt; inputBitmap.Height; y++)
{
byte* currentLine = ptr + (y * bmpData.Stride);
List&lt;int&gt; pixelsToRemove = new List&lt;int&gt;();
bool fromBorder = true;
for (int x = 0; x &lt; inputBitmap.Width; x++)
{
byte* pixel = currentLine + (x * bytesPerPixel);
int B = pixel[0];
int G = pixel[1];
int R = pixel[2];
if (fromBorder &amp;&amp; B &lt; F1TV_BACKGROUND_TRESHOLD.B &amp;&amp; G &lt; F1TV_BACKGROUND_TRESHOLD.G &amp;&amp; R &lt; F1TV_BACKGROUND_TRESHOLD.R)
{
pixelsToRemove.Add(x);
}
else
{
if (fromBorder)
{
fromBorder = false;
pixelsToRemove.Add(x);
}
}
}
fromBorder = true;
for (int x = inputBitmap.Width - 1; x &gt; 0; x--)
{
byte* pixel = currentLine + (x * bytesPerPixel);
int B = pixel[0];
int G = pixel[1];
int R = pixel[2];
if (fromBorder &amp;&amp; B &lt; F1TV_BACKGROUND_TRESHOLD.B &amp;&amp; G &lt; F1TV_BACKGROUND_TRESHOLD.G &amp;&amp; R &lt; F1TV_BACKGROUND_TRESHOLD.R)
{
pixelsToRemove.Add(x);
}
else
{
if (fromBorder)
{
fromBorder = false;
pixelsToRemove.Add(x);
}
}
}
foreach (int pxPos in pixelsToRemove)
{
byte* pixel = currentLine + (pxPos * bytesPerPixel);
pixel[0] = 0xFF;
pixel[1] = 0xFF;
pixel[2] = 0xFF;
}
}
//Removing the color parts
for (int y = 0; y &lt; inputBitmap.Height; y++)
{
byte* currentLine = ptr + (y * bmpData.Stride);
for (int x = 0; x &lt; inputBitmap.Width; x++)
{
byte* pixel = currentLine + (x * bytesPerPixel);
int B = pixel[0];
int G = pixel[1];
int R = pixel[2];
if (R &gt;= F1TV_BACKGROUND_TRESHOLD.R + 15 || G &gt;= F1TV_BACKGROUND_TRESHOLD.G + 15 || B &gt;= F1TV_BACKGROUND_TRESHOLD.B + 15)
{
pixel[0] = 0xFF;
pixel[1] = 0xFF;
pixel[2] = 0xFF;
}
}
}
inputBitmap.UnlockBits(bmpData);
return inputBitmap;
}
/// &lt;summary&gt;
/// Recovers the average colors from the Image. NOTE : It wont take in account colors that are lower than the background
/// &lt;/summary&gt;
/// &lt;param name="inputBitmap"&gt;The bitmap you want to get the average color from&lt;/param&gt;
/// &lt;returns&gt;The average color of the bitmap&lt;/returns&gt;
public static Color GetAvgColorFromBitmap(Bitmap inputBitmap)
{
Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height);
BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat);
int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8;
int totR = 0;
int totG = 0;
int totB = 0;
int totPixels = 1;
unsafe
{
byte* ptr = (byte*)bmpData.Scan0.ToPointer();
int bmpHeight = inputBitmap.Height;
int bmpWidth = inputBitmap.Width;
Parallel.For(0, bmpHeight, y =&gt;
{
byte* currentLine = ptr + (y * bmpData.Stride);
for (int x = 0; x &lt; bmpWidth; x++)
{
byte* pixel = currentLine + (x * bytesPerPixel);
int B = pixel[0];
int G = pixel[1];
int R = pixel[2];
if (R &gt;= F1TV_BACKGROUND_TRESHOLD.R || G &gt;= F1TV_BACKGROUND_TRESHOLD.G || B &gt;= F1TV_BACKGROUND_TRESHOLD.B)
{
totPixels++;
totB += pixel[0];
totG += pixel[1];
totR += pixel[2];
}
}
});
}
inputBitmap.UnlockBits(bmpData);
return Color.FromArgb(255, Convert.ToInt32((float)totR / (float)totPixels), Convert.ToInt32((float)totG / (float)totPixels), Convert.ToInt32((float)totB / (float)totPixels));
}
/// &lt;summary&gt;
/// This method simply inverts all the colors in a Bitmap
/// &lt;/summary&gt;
/// &lt;param name="inputBitmap"&gt;the bitmap you want to invert the colors from&lt;/param&gt;
/// &lt;returns&gt;The bitmap with inverted colors&lt;/returns&gt;
public static Bitmap InvertColors(Bitmap inputBitmap)
{
Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height);
BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat);
int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8;
unsafe
{
byte* ptr = (byte*)bmpData.Scan0.ToPointer();
for (int y = 0; y &lt; inputBitmap.Height; y++)
{
byte* currentLine = ptr + (y * bmpData.Stride);
for (int x = 0; x &lt; inputBitmap.Width; x++)
{
byte* pixel = currentLine + (x * bytesPerPixel);
pixel[0] = (byte)(255 - pixel[0]);
pixel[1] = (byte)(255 - pixel[1]);
pixel[2] = (byte)(255 - pixel[2]);
}
}
}
inputBitmap.UnlockBits(bmpData);
return inputBitmap;
}
/// &lt;summary&gt;
/// Methods that applies Bicubic interpolation to increase the size and resolution of an image
/// &lt;/summary&gt;
/// &lt;param name="inputBitmap"&gt;The bitmap you want to resize&lt;/param&gt;
/// &lt;param name="resizeFactor"&gt;The factor of resizing you want to use. I recommend using even numbers&lt;/param&gt;
/// &lt;returns&gt;The bitmap witht the new size&lt;/returns&gt;
public static Bitmap Resize(Bitmap inputBitmap, int resizeFactor)
{
var resultBitmap = new Bitmap(inputBitmap.Width * resizeFactor, inputBitmap.Height * resizeFactor);
using (var graphics = Graphics.FromImage(resultBitmap))
{
graphics.InterpolationMode = InterpolationMode.HighQualityBicubic;
graphics.DrawImage(inputBitmap, new Rectangle(0, 0, resultBitmap.Width, resultBitmap.Height));
}
return resultBitmap;
}
/// &lt;summary&gt;
/// method that Highlights the countours of a Bitmap
/// &lt;/summary&gt;
/// &lt;param name="inputBitmap"&gt;The bitmap you want to highlight the countours of&lt;/param&gt;
/// &lt;returns&gt;The bitmap with countours highlighted&lt;/returns&gt;
public static Bitmap HighlightContours(Bitmap inputBitmap)
{
Bitmap outputBitmap = new Bitmap(inputBitmap.Width, inputBitmap.Height);
Bitmap grayscale = Grayscale(inputBitmap);
Bitmap thresholded = Tresholding(grayscale, 128);
Bitmap dilated = Dilatation(thresholded, 3);
Bitmap eroded = Erode(dilated, 3);
for (int y = 0; y &lt; inputBitmap.Height; y++)
{
for (int x = 0; x &lt; inputBitmap.Width; x++)
{
Color pixel = inputBitmap.GetPixel(x, y);
Color dilatedPixel = dilated.GetPixel(x, y);
Color erodedPixel = eroded.GetPixel(x, y);
int gray = (int)(pixel.R * 0.3 + pixel.G * 0.59 + pixel.B * 0.11);
int threshold = dilatedPixel.R;
if (gray &gt; threshold)
{
outputBitmap.SetPixel(x, y, Color.FromArgb(255, 255, 255));
}
else if (gray &lt;= threshold &amp;&amp; erodedPixel.R == 0)
{
outputBitmap.SetPixel(x, y, Color.FromArgb(255, 0, 0));
}
else
{
outputBitmap.SetPixel(x, y, Color.FromArgb(0, 0, 0));
}
}
}
return outputBitmap;
}
/// &lt;summary&gt;
/// Method that that erodes the morphology of a bitmap
/// &lt;/summary&gt;
/// &lt;param name="inputBitmap"&gt;The bitmap you want to erode&lt;/param&gt;
/// &lt;param name="kernelSize"&gt;The amount of Erosion you want (be carefull its expensive on ressources)&lt;/param&gt;
/// &lt;returns&gt;The Bitmap with the eroded contents&lt;/returns&gt;
public static Bitmap Erode(Bitmap inputBitmap, int kernelSize)
{
Bitmap outputBitmap = new Bitmap(inputBitmap.Width, inputBitmap.Height);
int[,] kernel = new int[kernelSize, kernelSize];
for (int i = 0; i &lt; kernelSize; i++)
{
for (int j = 0; j &lt; kernelSize; j++)
{
kernel[i, j] = 1;
}
}
for (int y = kernelSize / 2; y &lt; inputBitmap.Height - kernelSize / 2; y++)
{
for (int x = kernelSize / 2; x &lt; inputBitmap.Width - kernelSize / 2; x++)
{
bool flag = true;
for (int i = -kernelSize / 2; i &lt;= kernelSize / 2; i++)
{
for (int j = -kernelSize / 2; j &lt;= kernelSize / 2; j++)
{
Color pixel = inputBitmap.GetPixel(x + i, y + j);
int gray = (int)(pixel.R * 0.3 + pixel.G * 0.59 + pixel.B * 0.11);
if (gray &gt;= 128 &amp;&amp; kernel[i + kernelSize / 2, j + kernelSize / 2] == 1)
{
flag = false;
break;
}
}
if (!flag)
{
break;
}
}
if (flag)
{
outputBitmap.SetPixel(x, y, Color.FromArgb(255, 255, 255));
}
else
{
outputBitmap.SetPixel(x, y, Color.FromArgb(0, 0, 0));
}
}
}
return outputBitmap;
}
/// &lt;summary&gt;
/// Method that that use dilatation of the morphology of a bitmap
/// &lt;/summary&gt;
/// &lt;param name="inputBitmap"&gt;The bitmap you want to use dilatation on&lt;/param&gt;
/// &lt;param name="kernelSize"&gt;The amount of dilatation you want (be carefull its expensive on ressources)&lt;/param&gt;
/// &lt;returns&gt;The Bitmap after Dilatation&lt;/returns&gt;
public static Bitmap Dilatation(Bitmap inputBitmap, int kernelSize)
{
Bitmap outputBitmap = new Bitmap(inputBitmap.Width, inputBitmap.Height);
int[,] kernel = new int[kernelSize, kernelSize];
for (int i = 0; i &lt; kernelSize; i++)
{
for (int j = 0; j &lt; kernelSize; j++)
{
kernel[i, j] = 1;
}
}
for (int y = kernelSize / 2; y &lt; inputBitmap.Height - kernelSize / 2; y++)
{
for (int x = kernelSize / 2; x &lt; inputBitmap.Width - kernelSize / 2; x++)
{
bool flag = false;
for (int i = -kernelSize / 2; i &lt;= kernelSize / 2; i++)
{
for (int j = -kernelSize / 2; j &lt;= kernelSize / 2; j++)
{
Color pixel = inputBitmap.GetPixel(x + i, y + j);
int gray = (int)(pixel.R * 0.3 + pixel.G * 0.59 + pixel.B * 0.11);
if (gray &lt; 128 &amp;&amp; kernel[i + kernelSize / 2, j + kernelSize / 2] == 1)
{
flag = true;
break;
}
}
if (flag)
{
break;
}
}
if (flag)
{
outputBitmap.SetPixel(x, y, Color.FromArgb(0, 0, 0));
}
else
{
outputBitmap.SetPixel(x, y, Color.FromArgb(255, 255, 255));
}
}
}
return outputBitmap;
}
}
}
</code></pre>
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