Develop Reference

Unity flip texture using c#

How do I call the method FlipTextureVertically in MakePhoto ?
My picture currently taken is upside down in unity, and I came across this texture flipping code, but I do not know how to apply it.
Would really appreciate if someone could help me out here!
public static Texture2D FlipTextureVertically(Texture2D original)
{
Texture2D flipped = new Texture2D(original.width, original.height, TextureFormat.ARGB32, false);
int xN = original.width;
int yN = original.height;
for (int i = 0; i < xN; i++)
{
for (int j = 0; j < yN; j++)
{
flipped.SetPixel(i, yN - j - 1, original.GetPixel(i, j));
}
}
flipped.Apply();
return flipped;
}
public string MakePhoto(bool openIt)
{
int resWidth = Screen.width;
int resHeight = Screen.height;
Texture2D screenShot = new Texture2D(resWidth, resHeight, TextureFormat.RGB24, false); //Create new texture
RenderTexture rt = new RenderTexture(resWidth, resHeight, 24);
// hide the info-text, if any
if (infoText)
{
infoText.text = string.Empty;
}
// render background and foreground cameras
if (backroundCamera && backroundCamera.enabled)
{
backroundCamera.targetTexture = rt;
backroundCamera.Render();
backroundCamera.targetTexture = null;
}
if (backroundCamera2 && backroundCamera2.enabled)
{
backroundCamera2.targetTexture = rt;
backroundCamera2.Render();
backroundCamera2.targetTexture = null;
}
if (foreroundCamera && foreroundCamera.enabled)
{
foreroundCamera.targetTexture = rt;
foreroundCamera.Render();
foreroundCamera.targetTexture = null;
}
// get the screenshot
RenderTexture prevActiveTex = RenderTexture.active;
RenderTexture.active = rt;
screenShot.ReadPixels(new Rect(0, 0, resWidth, resHeight), 0, 0);
// clean-up
RenderTexture.active = prevActiveTex;
Destroy(rt);
byte[] btScreenShot = screenShot.EncodeToJPG();
Destroy(screenShot);
// save the screenshot as jpeg file
string sDirName = Application.persistentDataPath + "/Screenshots";
if (!Directory.Exists(sDirName))
Directory.CreateDirectory (sDirName);
string sFileName = sDirName + "/" + string.Format ("{0:F0}", Time.realtimeSinceStartup * 10f) + ".jpg";
File.WriteAllBytes(sFileName, btScreenShot);
Debug.Log("Photo saved to: " + sFileName);
if (infoText)
{
infoText.text = "Saved to: " + sFileName;
}
// open file
if(openIt)
{
System.Diagnostics.Process.Start(sFileName);
}
return sFileName;
}

I don't really see why the screenshot should be upside down but I guess you should call it e.g. after
screenShot.ReadPixels(new Rect(0, 0, resWidth, resHeight), 0, 0);
screenShot = FlipTextureVertically(screenShot);
but there might be more efficient ways of doing that.
E.g. not creating a new Texture2D but instead alter only the pixels in the one you already have like
public static void FlipTextureVertically(Texture2D original)
{
var originalPixels = original.GetPixels();
var newPixels = new Color[originalPixels.Length];
var width = original.width;
var rows = original.height;
for (var x = 0; x < width; x++)
{
for (var y = 0; y < rows; y++)
{
newPixels[x + y * width] = originalPixels[x + (rows - y -1) * width];
}
}
original.SetPixels(newPixels);
original.Apply();
}
public static void FlipTextureHorizontally(Texture2D original)
{
var originalPixels = original.GetPixels();
var newPixels = new Color[originalPixels.Length];
var width = original.width;
var rows = original.height;
for (var x = 0; x < width; x++)
{
for (var y = 0; y < rows; y++)
{
newPixels[x + y * width] = originalPixels[(width - x - 1) + y * width];
}
}
original.SetPixels(newPixels);
original.Apply();
}
and use it like
screenShot.ReadPixels(new Rect(0, 0, resWidth, resHeight), 0, 0);
FlipTextureVertically(screenShot);

The reason your image is flipped is that you are swicthing the vertical pixels in your code.
public static Texture2D FlipTextureVertically(Texture2D original)
{
Texture2D flipped = new Texture2D(original.width, original.height, TextureFormat.ARGB32, false);
int xN = original.width;
int yN = original.height;
for (int i = 0; i < xN; i++)
{
for (int j = 0; j < yN; j++)
{
flipped.SetPixel(i, yN - j - 1, original.GetPixel(i, j));
}
}
flipped.Apply();
return flipped;
}
should be
public static Texture2D FlipTextureVertically(Texture2D original)
{
Texture2D flipped = new Texture2D(original.width, original.height, TextureFormat.ARGB32, false);
int xN = original.width;
int yN = original.height;
for (int i = 0; i < xN; i++)
{
for (int j = 0; j < yN; j++)
{
flipped.SetPixel(xN - i - 1, yN, original.GetPixel(i, j));
}
}
flipped.Apply();
return flipped;
}

Split an image of multiple digits into seperate images having one digit only

I am trying to split an image of hand written digits into separate ones.
Consider I have this image:
I did a simple logic that could work, but it will and it did encounter a problem:
private static void SplitImages()
{
//We're going to use this code once.. to split our own images into seperate images.. can we do this somehow?
Bitmap testSplitImage = (Bitmap)Bitmap.FromFile("TestSplitImage.jpg");
int[][] imagePixels = new int[testSplitImage.Width][];
for(int i=0;i<imagePixels.Length;i++)
{
imagePixels[i] = new int[testSplitImage.Height];
}
for(int i=0;i<imagePixels.Length;i++)
{
for(int j=0;j<imagePixels[i].Length;j++)
{
Color c = testSplitImage.GetPixel(i, j);
imagePixels[i][j] = (c.R + c.G + c.B) / 3;
}
}
//let's start by getting the first height vector... and count how many of them is white..dunno..
int startColNumber = 0;
int endColNumber = 0;
bool isStart = false;
int imageNumber = 1;
for(int i=0;i<imagePixels.Length;i++)
{
int whiteNumbers = 0;
for(int j=0;j<imagePixels[i].Length;j++)
{
if (imagePixels[i][j] > 200)
{
//consider it white or not really relevant
whiteNumbers++;
}
}
if (whiteNumbers > testSplitImage.Height*95.0/100.0)
{
//let's consider that if a height vector has more than 95% white pixels.. it means that we can start checking for an image
//now if we started checking for the image.. we need to stop
if (isStart)
{
//consider the end of image.. so the end column should be here or we make it +1 at least
endColNumber = i + 1;
isStart = false;
}
}
else
{
if (!isStart)
{
isStart = true; //we will start checking for the image one row before that maybe?
startColNumber = i == 0 ? i : i - 1;
}
}
if (endColNumber > 0)
{
//we got a start and an end.. let's create a new image out of those pixels..hopefully this will work
Bitmap splittedImage = new Bitmap(endColNumber - startColNumber + 1, testSplitImage.Height);
int col = 0;
for(int k=startColNumber;k<=endColNumber;k++)
{
for (int l=0;l<testSplitImage.Height;l++)
{
int c = imagePixels[k][l];
splittedImage.SetPixel(col, l, Color.FromArgb(c, c, c));
}
col++;
}
splittedImage.Save($"Image{imageNumber++}.jpg");
endColNumber = 0;
}
whiteNumbers = 0;
}
}
I did get good results:
I did also get the three zeros:
However, I got this as one image also:
This is one sample of an image that needs to be split (out of 4,000 images mainly), and it's one of the best and easiest one. I am wondering if there's a way to improve my logic, or I should drop this way and find another?

This code only works with monochrome (2 color, black and white) images.
public static class Processor
{
public static byte[] ToArray(this Bitmap bmp) // bitmap to byte array using lockbits
{
Rectangle rect = new Rectangle(0, 0, bmp.Width, bmp.Height);
BitmapData data = bmp.LockBits(rect, ImageLockMode.ReadWrite, bmp.PixelFormat);
IntPtr ptr = data.Scan0;
int numBytes = data.Stride * bmp.Height;
byte[] bytes = new byte[numBytes];
System.Runtime.InteropServices.Marshal.Copy(ptr, bytes, 0, numBytes);
bmp.UnlockBits(data);
return bytes;
}
public static int GetPixel(this byte[] array, int bpr, int x, int y) //find out if the given pixel is 0 or 1
{
int num = y * bpr + x / 8;
return (array[num] >> 7- x%8) & 1;
}
public static List<Point> getDrawingPoints(this Point start, byte[] array, int width, int height) // get one 0 point (black point) and find all adjacent black points by traveling neighbors
{
List<Point> points = new List<Point>();
points.Add(start);
int BytePerRow = array.Length / bmp.Height;
int counter = 0;
do
{
for (int i = Math.Max(0, points[counter].X - 1); i <= Math.Min(width - 1, points[counter].X + 1); i++)
for (int j = Math.Max(0, points[counter].Y - 1); j <= Math.Min(height - 1, points[counter].Y + 1); j++)
if (array.GetPixel(BytePerRow, i, j) == 0 && !points.Any(p => p.X == i && p.Y == j))
points.Add(new Point(i, j));
counter++;
} while (counter < points.Count);
return points;
}
public static Bitmap ToBitmap(this List<Point> points) // convert points to bitmap
{
int startX = points.OrderBy(p => p.X).First().X,
endX = points.OrderByDescending(p => p.X).First().X,
startY = points.OrderBy(p => p.Y).First().Y,
endY = points.OrderByDescending(p => p.Y).First().Y;
Bitmap bmp = new Bitmap(endX - startX + 1, endY - startY + 1);
Graphics g = Graphics.FromImage(bmp);
g.FillRectangle(new SolidBrush(Color.White), new Rectangle(0, 0, endX - startX - 1, endY - startY - 1));
for (int i = startY; i <= endY; i++)
for (int j = startX; j <= endX; j++)
if (points.Any(p => p.X == j && p.Y == i)) bmp.SetPixel(j - startX, i - startY, Color.Black);
return bmp;
}
}
And use it like this to get all numbers inside the main image:
List<Point> processed = new List<Point>();
Bitmap bmp = ((Bitmap)Bitmap.FromFile(SourceBitmapPath));
byte[] array = bmp.ToArray();
int BytePerRow = array.Length / bmp.Height;
int imgIndex = 1;
for (int i = 0; i < bmp.Width; i++)
for (int j = 0; j < bmp.Height; j++)
{
if (array.GetPixel(BytePerRow, i, j) == 0 && !processed.Any(p => p.X == i && p.Y == j))
{
List<Point> points = new Point(i, j).getDrawingPoints(array, bmp.Width, bmp.Height);
processed.AddRange(points);
Bitmap result = points.ToBitmap();
result.Save($"{imgIndex++}.bmp");
}
}
I'm using paint and Save As monochrome bmp format to generate the source image.
I also tested it with this Image:
that result in the following three images:

Adaptive Thresholding Technique to live videos from webcam C#

I am trying to detect light from 2 LED lights (red and blue) I did that using Bernsen thresholding technique. However, I applied that to an image. Now I want to apply that same technique but to a live video from my webcam. Is there anyway I could simply edit the code for this technique on the image to make it work on a video from the webcam? I will add below the code I used for this thresholding technique.
private ArrayList getNeighbours(int xPos, int yPos, Bitmap bitmap)
{
//This goes around the image in windows of 5
ArrayList neighboursList = new ArrayList();
int xStart, yStart, xFinish, yFinish;
int pixel;
xStart = xPos - 5;
yStart = yPos - 5;
xFinish = xPos + 5;
yFinish = yPos + 5;
for (int y = yStart; y <= yFinish; y++)
{
for (int x = xStart; x <= xFinish; x++)
{
if (x < 0 || y < 0 || x > (bitmap.Width - 1) || y > (bitmap.Height - 1))
{
continue;
}
else
{
pixel = bitmap.GetPixel(x, y).R;
neighboursList.Add(pixel);
}
}
}
return neighboursList;
}
private void button5_Click_1(object sender, EventArgs e)
{
//The input image
Bitmap image = new Bitmap(pictureBox2.Image);
progressBar1.Minimum = 0;
progressBar1.Maximum = image.Height - 1;
progressBar1.Value = 0;
Bitmap result = new Bitmap(pictureBox2.Image);
int iMin, iMax, t, c, contrastThreshold, pixel;
contrastThreshold = 180;
ArrayList list = new ArrayList();
for (int y = 0; y < image.Height; y++)
{
for (int x = 0; x < image.Width; x++)
{
list.Clear();
pixel = image.GetPixel(x, y).R;
list = getNeighbours(x, y, image);
list.Sort();
iMin = Convert.ToByte(list[0]);
iMax = Convert.ToByte(list[list.Count - 1]);
// These are the calculations to test whether the
current pixel is light or dark
t = ((iMax + iMin) / 2);
c = (iMax - iMin);
if (c < contrastThreshold)
{
pixel = ((t >= 160) ? 0 : 255);
}
else
{
pixel = ((pixel >= t) ? 0 : 255);
}
result.SetPixel(x, y, Color.FromArgb(pixel, pixel, pixel));
}
progressBar1.Value = y;
}
pictureBox3.Image =result;
}

Best way to speed up CropTransparentPixels method

I have just wrote this method to crop transparent pixels from images.
It seems to work ok but it is very slow because of GetPixel - any ideas on how to make the algorithm logic quicker?
I know I can change the GetPixel for faster (but unsafe) access code and I might do so, however I am after ways to avoid doing a full scan. I want advice on how to make the logic behind this algorithm quicker.
public Bitmap CropTransparentPixels(Bitmap originalBitmap)
{
// Find the min/max transparent pixels
Point min = new Point(int.MaxValue, int.MaxValue);
Point max = new Point(int.MinValue, int.MinValue);
for (int x = 0; x < originalBitmap.Width; ++x)
{
for (int y = 0; y < originalBitmap.Height; ++y)
{
Color pixelColor = originalBitmap.GetPixel(x, y);
if (pixelColor.A == 255)
{
if (x < min.X) min.X = x;
if (y < min.Y) min.Y = y;
if (x > max.X) max.X = x;
if (y > max.Y) max.Y = y;
}
}
}
// Create a new bitmap from the crop rectangle
Rectangle cropRectangle = new Rectangle(min.X, min.Y, max.X - min.X, max.Y - min.Y);
Bitmap newBitmap = new Bitmap(cropRectangle.Width, cropRectangle.Height);
using (Graphics g = Graphics.FromImage(newBitmap))
{
g.DrawImage(originalBitmap, 0, 0, cropRectangle, GraphicsUnit.Pixel);
}
return newBitmap;
}

This is the method I ended up writing and it is much faster.
public static Bitmap CropTransparentPixels(this Bitmap bmp)
{
BitmapData bmData = null;
try
{
bmData = bmp.LockBits(new Rectangle(0, 0, bmp.Width, bmp.Height), ImageLockMode.ReadOnly, PixelFormat.Format32bppArgb);
int scanline = bmData.Stride;
IntPtr Scan0 = bmData.Scan0;
Point top = new Point(), left = new Point(), right = new Point(), bottom = new Point();
bool complete = false;
unsafe
{
byte* p = (byte*)(void*)Scan0;
for (int y = 0; y < bmp.Height; y++)
{
for (int x = 0; x < bmp.Width; x++)
{
if (p[3] != 0)
{
top = new Point(x, y);
complete = true;
break;
}
p += 4;
}
if (complete)
break;
}
p = (byte*)(void*)Scan0;
complete = false;
for (int y = bmp.Height - 1; y >= 0; y--)
{
for (int x = 0; x < bmp.Width; x++)
{
if (p[x * 4 + y * scanline + 3] != 0)
{
bottom = new Point(x + 1, y + 1);
complete = true;
break;
}
}
if (complete)
break;
}
p = (byte*)(void*)Scan0;
complete = false;
for (int x = 0; x < bmp.Width; x++)
{
for (int y = 0; y < bmp.Height; y++)
{
if (p[x * 4 + y * scanline + 3] != 0)
{
left = new Point(x, y);
complete = true;
break;
}
}
if (complete)
break;
}
p = (byte*)(void*)Scan0;
complete = false;
for (int x = bmp.Width - 1; x >= 0; x--)
{
for (int y = 0; y < bmp.Height; y++)
{
if (p[x * 4 + y * scanline + 3] != 0)
{
right = new Point(x + 1, y + 1);
complete = true;
break;
}
}
if (complete)
break;
}
}
bmp.UnlockBits(bmData);
System.Drawing.Rectangle rectangle = new Rectangle(left.X, top.Y, right.X - left.X, bottom.Y - top.Y);
Bitmap b = new Bitmap(rectangle.Width, rectangle.Height);
Graphics g = Graphics.FromImage(b);
g.DrawImage(bmp, 0, 0, rectangle, GraphicsUnit.Pixel);
g.Dispose();
return b;
}
catch
{
try
{
bmp.UnlockBits(bmData);
}
catch { }
return null;
}
}

Remove surrounding whitespace from an image

I have a block of product images we received from a customer. Each product image is a picture of something and it was taken with a white background. I would like to crop all the surrounding parts of the image but leave only the product in the middle. Is this possible?
As an example: [http://www.5dnet.de/media/catalog/product/d/r/dress_shoes_5.jpg][1]
I don't want all white pixels removed, however I do want the image cropped so that the top-most row of pixels contains one non-white pixel, the left-most vertical row of pixels contains one non-white pixel, bottom-most horizontal row of pixels contains one non-white pixel, etc.
Code in C# or VB.net would be appreciated.

I found I had to adjust Dmitri's answer to ensure it works with images that don't actually need cropping (either horizontally, vertically or both)...
public static Bitmap Crop(Bitmap bmp)
{
int w = bmp.Width;
int h = bmp.Height;
Func<int, bool> allWhiteRow = row =>
{
for (int i = 0; i < w; ++i)
if (bmp.GetPixel(i, row).R != 255)
return false;
return true;
};
Func<int, bool> allWhiteColumn = col =>
{
for (int i = 0; i < h; ++i)
if (bmp.GetPixel(col, i).R != 255)
return false;
return true;
};
int topmost = 0;
for (int row = 0; row < h; ++row)
{
if (allWhiteRow(row))
topmost = row;
else break;
}
int bottommost = 0;
for (int row = h - 1; row >= 0; --row)
{
if (allWhiteRow(row))
bottommost = row;
else break;
}
int leftmost = 0, rightmost = 0;
for (int col = 0; col < w; ++col)
{
if (allWhiteColumn(col))
leftmost = col;
else
break;
}
for (int col = w - 1; col >= 0; --col)
{
if (allWhiteColumn(col))
rightmost = col;
else
break;
}
if (rightmost == 0) rightmost = w; // As reached left
if (bottommost == 0) bottommost = h; // As reached top.
int croppedWidth = rightmost - leftmost;
int croppedHeight = bottommost - topmost;
if (croppedWidth == 0) // No border on left or right
{
leftmost = 0;
croppedWidth = w;
}
if (croppedHeight == 0) // No border on top or bottom
{
topmost = 0;
croppedHeight = h;
}
try
{
var target = new Bitmap(croppedWidth, croppedHeight);
using (Graphics g = Graphics.FromImage(target))
{
g.DrawImage(bmp,
new RectangleF(0, 0, croppedWidth, croppedHeight),
new RectangleF(leftmost, topmost, croppedWidth, croppedHeight),
GraphicsUnit.Pixel);
}
return target;
}
catch (Exception ex)
{
throw new Exception(
string.Format("Values are topmost={0} btm={1} left={2} right={3} croppedWidth={4} croppedHeight={5}", topmost, bottommost, leftmost, rightmost, croppedWidth, croppedHeight),
ex);
}
}

Here's my (rather lengthy) solution:
public Bitmap Crop(Bitmap bmp)
{
int w = bmp.Width, h = bmp.Height;
Func<int, bool> allWhiteRow = row =>
{
for (int i = 0; i < w; ++i)
if (bmp.GetPixel(i, row).R != 255)
return false;
return true;
};
Func<int, bool> allWhiteColumn = col =>
{
for (int i = 0; i < h; ++i)
if (bmp.GetPixel(col, i).R != 255)
return false;
return true;
};
int topmost = 0;
for (int row = 0; row < h; ++row)
{
if (allWhiteRow(row))
topmost = row;
else break;
}
int bottommost = 0;
for (int row = h - 1; row >= 0; --row)
{
if (allWhiteRow(row))
bottommost = row;
else break;
}
int leftmost = 0, rightmost = 0;
for (int col = 0; col < w; ++col)
{
if (allWhiteColumn(col))
leftmost = col;
else
break;
}
for (int col = w-1; col >= 0; --col)
{
if (allWhiteColumn(col))
rightmost = col;
else
break;
}
int croppedWidth = rightmost - leftmost;
int croppedHeight = bottommost - topmost;
try
{
Bitmap target = new Bitmap(croppedWidth, croppedHeight);
using (Graphics g = Graphics.FromImage(target))
{
g.DrawImage(bmp,
new RectangleF(0, 0, croppedWidth, croppedHeight),
new RectangleF(leftmost, topmost, croppedWidth, croppedHeight),
GraphicsUnit.Pixel);
}
return target;
}
catch (Exception ex)
{
throw new Exception(
string.Format("Values are topmost={0} btm={1} left={2} right={3}", topmost, bottommost, leftmost, rightmost),
ex);
}
}

I needed a solution that worked on large images (GetPixel is slow), so I wrote the extension method below. It seems to work well in my limited testing. The drawback is that "Allow Unsafe Code" has to be checked in your project.
public static Image AutoCrop(this Bitmap bmp)
{
if (Image.GetPixelFormatSize(bmp.PixelFormat) != 32)
throw new InvalidOperationException("Autocrop currently only supports 32 bits per pixel images.");
// Initialize variables
var cropColor = Color.White;
var bottom = 0;
var left = bmp.Width; // Set the left crop point to the width so that the logic below will set the left value to the first non crop color pixel it comes across.
var right = 0;
var top = bmp.Height; // Set the top crop point to the height so that the logic below will set the top value to the first non crop color pixel it comes across.
var bmpData = bmp.LockBits(new Rectangle(0, 0, bmp.Width, bmp.Height), ImageLockMode.ReadOnly, bmp.PixelFormat);
unsafe
{
var dataPtr = (byte*)bmpData.Scan0;
for (var y = 0; y < bmp.Height; y++)
{
for (var x = 0; x < bmp.Width; x++)
{
var rgbPtr = dataPtr + (x * 4);
var b = rgbPtr[0];
var g = rgbPtr[1];
var r = rgbPtr[2];
var a = rgbPtr[3];
// If any of the pixel RGBA values don't match and the crop color is not transparent, or if the crop color is transparent and the pixel A value is not transparent
if ((cropColor.A > 0 && (b != cropColor.B || g != cropColor.G || r != cropColor.R || a != cropColor.A)) || (cropColor.A == 0 && a != 0))
{
if (x < left)
left = x;
if (x >= right)
right = x + 1;
if (y < top)
top = y;
if (y >= bottom)
bottom = y + 1;
}
}
dataPtr += bmpData.Stride;
}
}
bmp.UnlockBits(bmpData);
if (left < right && top < bottom)
return bmp.Clone(new Rectangle(left, top, right - left, bottom - top), bmp.PixelFormat);
return null; // Entire image should be cropped, so just return null
}

I've written code to do this myself - it's not too difficult to get the basics going.
Essentially, you need to scan pixel rows/columns to check for non-white pixels and isolate the bounds of the product image, then create a new bitmap with just that region.
Note that while the Bitmap.GetPixel() method works, it's relatively slow. If processing time is important, you'll need to use Bitmap.LockBits() to lock the bitmap in memory, and then some simple pointer use inside an unsafe { } block to access the pixels directly.
This article on CodeProject gives some more details that you'll probably find useful.

fix remaining 1px white space at the top and left
public Bitmap Crop(Bitmap bitmap)
{
int w = bitmap.Width;
int h = bitmap.Height;
Func<int, bool> IsAllWhiteRow = row =>
{
for (int i = 0; i < w; i++)
{
if (bitmap.GetPixel(i, row).R != 255)
{
return false;
}
}
return true;
};
Func<int, bool> IsAllWhiteColumn = col =>
{
for (int i = 0; i < h; i++)
{
if (bitmap.GetPixel(col, i).R != 255)
{
return false;
}
}
return true;
};
int leftMost = 0;
for (int col = 0; col < w; col++)
{
if (IsAllWhiteColumn(col)) leftMost = col + 1;
else break;
}
int rightMost = w - 1;
for (int col = rightMost; col > 0; col--)
{
if (IsAllWhiteColumn(col)) rightMost = col - 1;
else break;
}
int topMost = 0;
for (int row = 0; row < h; row++)
{
if (IsAllWhiteRow(row)) topMost = row + 1;
else break;
}
int bottomMost = h - 1;
for (int row = bottomMost; row > 0; row--)
{
if (IsAllWhiteRow(row)) bottomMost = row - 1;
else break;
}
if (rightMost == 0 && bottomMost == 0 && leftMost == w && topMost == h)
{
return bitmap;
}
int croppedWidth = rightMost - leftMost + 1;
int croppedHeight = bottomMost - topMost + 1;
try
{
Bitmap target = new Bitmap(croppedWidth, croppedHeight);
using (Graphics g = Graphics.FromImage(target))
{
g.DrawImage(bitmap,
new RectangleF(0, 0, croppedWidth, croppedHeight),
new RectangleF(leftMost, topMost, croppedWidth, croppedHeight),
GraphicsUnit.Pixel);
}
return target;
}
catch (Exception ex)
{
throw new Exception(string.Format("Values are top={0} bottom={1} left={2} right={3}", topMost, bottomMost, leftMost, rightMost), ex);
}
}

It's certainly possible. In pseudocode:
topmost = 0
for row from 0 to numRows:
if allWhiteRow(row):
topmost = row
else:
# found first non-white row from top
break
botmost = 0
for row from numRows-1 to 0:
if allWhiteRow(row):
botmost = row
else:
# found first non-white row from bottom
break
And similarly for left and right.
The code for allWhiteRow would involve looking at the pixels in that row and making sure they're all close to 255,255,255.

public void TrimImage() {
int threshhold = 250;
int topOffset = 0;
int bottomOffset = 0;
int leftOffset = 0;
int rightOffset = 0;
Bitmap img = new Bitmap(#"e:\Temp\Trim_Blank_Image.png");
bool foundColor = false;
// Get left bounds to crop
for (int x = 1; x < img.Width && foundColor == false; x++)
{
for (int y = 1; y < img.Height && foundColor == false; y++)
{
Color color = img.GetPixel(x, y);
if (color.R < threshhold || color.G < threshhold || color.B < threshhold)
foundColor = true;
}
leftOffset += 1;
}
foundColor = false;
// Get top bounds to crop
for (int y = 1; y < img.Height && foundColor == false; y++)
{
for (int x = 1; x < img.Width && foundColor == false; x++)
{
Color color = img.GetPixel(x, y);
if (color.R < threshhold || color.G < threshhold || color.B < threshhold)
foundColor = true;
}
topOffset += 1;
}
foundColor = false;
// Get right bounds to crop
for (int x = img.Width - 1; x >= 1 && foundColor == false; x--)
{
for (int y = 1; y < img.Height && foundColor == false; y++)
{
Color color = img.GetPixel(x, y);
if (color.R < threshhold || color.G < threshhold || color.B < threshhold)
foundColor = true;
}
rightOffset += 1;
}
foundColor = false;
// Get bottom bounds to crop
for (int y = img.Height - 1; y >= 1 && foundColor == false; y--)
{
for (int x = 1; x < img.Width && foundColor == false; x++)
{
Color color = img.GetPixel(x, y);
if (color.R < threshhold || color.G < threshhold || color.B < threshhold)
foundColor = true;
}
bottomOffset += 1;
}
// Create a new image set to the size of the original minus the white space
//Bitmap newImg = new Bitmap(img.Width - leftOffset - rightOffset, img.Height - topOffset - bottomOffset);
Bitmap croppedBitmap = new Bitmap(img);
croppedBitmap = croppedBitmap.Clone(
new Rectangle(leftOffset - 3, topOffset - 3, img.Width - leftOffset - rightOffset + 6, img.Height - topOffset - bottomOffset + 6),
System.Drawing.Imaging.PixelFormat.DontCare);
// Get a graphics object for the new bitmap, and draw the original bitmap onto it, offsetting it do remove the whitespace
//Graphics g = Graphics.FromImage(croppedBitmap);
//g.DrawImage(img, 1 - leftOffset, 1 - rightOffset);
croppedBitmap.Save(#"e:\Temp\Trim_Blank_Image-crop.png", ImageFormat.Png);
}
I have got code from other post in ms, but that has bugs, I have changed something, now it works good.
The post from http://msm2020-sc.blogspot.com/2013/07/c-crop-white-space-from-around-image.html

The pnmcrop utility from the netpbm graphics utilities library does exactly that.
I suggest looking at their code, available from http://netpbm.sourceforge.net/

#Jonesie works great, but you have a bug with AllWhiteColumn
pixel was wrong calculated var px = i * w + col; is correct.
Also isTransparent should include white color SKColors.White or better compare it using rgb with offset r,g,b >200

I copied to a version that works with SkiaSharp.
using SkiaSharp;
using System;
//
// Based on the original stackoverflow post: https://stackoverflow.com/questions/248141/remove-surrounding-whitespace-from-an-image
//
namespace BlahBlah
{
public static class BitmapExtensions
{
public static SKBitmap TrimWhitespace(this SKBitmap bmp)
{
int w = bmp.Width;
int h = bmp.Height;
// get all the pixels here - this can take a while so dont want it in the loops below
// maybe theres a more efficient way? loading all the pixels could be greedy
var pixels = bmp.Pixels;
bool IsTransparent(SKColor color)
{
return (color.Red == 0 && color.Green == 0 && color.Blue == 0 && color.Alpha == 0) ||
(color == SKColors.Transparent);
}
Func<int, bool> allWhiteRow = row =>
{
for (int i = 0; i < w; ++i)
{
var px = row * w + i;
if (!IsTransparent(pixels[px]))
return false;
}
return true;
};
Func<int, bool> allWhiteColumn = col =>
{
for (int i = 0; i < h; ++i)
{
var px = col * h + i;
if (!IsTransparent(pixels[px]))
return false;
}
return true;
};
int topmost = 0;
for (int row = 0; row < h; ++row)
{
if (allWhiteRow(row))
topmost = row;
else break;
}
int bottommost = 0;
for (int row = h - 1; row >= 0; --row)
{
if (allWhiteRow(row))
bottommost = row;
else break;
}
int leftmost = 0, rightmost = 0;
for (int col = 0; col < w; ++col)
{
if (allWhiteColumn(col))
leftmost = col;
else
break;
}
for (int col = w - 1; col >= 0; --col)
{
if (allWhiteColumn(col))
rightmost = col;
else
break;
}
if (rightmost == 0) rightmost = w; // As reached left
if (bottommost == 0) bottommost = h; // As reached top.
int croppedWidth = rightmost - leftmost;
int croppedHeight = bottommost - topmost;
if (croppedWidth == 0) // No border on left or right
{
leftmost = 0;
croppedWidth = w;
}
if (croppedHeight == 0) // No border on top or bottom
{
topmost = 0;
croppedHeight = h;
}
try
{
var target = new SKBitmap(croppedWidth, croppedHeight);
using var canvas = new SKCanvas(target);
using var img = SKImage.FromBitmap(bmp);
canvas.DrawImage(img,
new SKRect(leftmost, topmost, rightmost, bottommost),
new SKRect(0, 0, croppedWidth, croppedHeight));
return target;
}
catch (Exception ex)
{
throw new Exception(
string.Format("Values are topmost={0} btm={1} left={2} right={3} croppedWidth={4} croppedHeight={5}", topmost, bottommost, leftmost, rightmost, croppedWidth, croppedHeight),
ex);
}
}
}
}