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我正在编写一个从另一个图像(imgInput)创建“棋盘图像”(imgOutput)的算法,就像这个例子一样。
它所做的是逐个检查图像的每个像素(500x500 像素),并将图片分成 2500 个 10x10 像素的盒子。我已经写了算法来计算平均 RGB 颜色,而不是绘制图像。这是代码:
public class PixelMatrix
{
public int X;
public int Y;
public int R;
public int G;
public int B;
}
public class RGBMatrix
{
public int R;
public int G;
public int B;
}
public Bitmap fncRasterize(Bitmap imgInput)
{
Bitmap imgOutput = new Bitmap(imgInput, 500, 500);
imgOutput.Save("test.bmp");
PixelMatrix[] arrWindows = new PixelMatrix[2500];
RGBMatrix[] arrRGB = new RGBMatrix[100];
Graphics gfx = Graphics.FromImage(imgOutput);
int WindowCount = 1;
int PixelCount = 1;
int WindowX;
int WindowY;
int PixelX;
int PixelY;
int avrgR = 0;
int avrgG = 0;
int avrgB = 0;
int tempcounter = 0;
for (WindowY = 1; WindowY <= 50; WindowY++)
{
for (WindowX = 1; WindowX <= 50; WindowX++)
{
PixelCount = 1;
avrgR = 0;
for (PixelY = 1; PixelY <= 10; PixelY++)
{
for (PixelX = 1; PixelX <= 10; PixelX++)
{
MessageBox.Show("R:" + imgOutput.GetPixel(1, 1).R + " G:" + imgOutput.GetPixel(1, 1).G + " B:" +imgOutput.GetPixel(1, 1).B);
arrRGB[PixelCount].R = (int)imgOutput.GetPixel((WindowX * 10 - 10 + PixelX), (WindowY * 10 - 10 + PixelY)).R;
arrRGB[PixelCount].G = (int)imgOutput.GetPixel((WindowX * 10 - 10 + PixelX), (WindowY * 10 - 10 + PixelY)).G;
arrRGB[PixelCount].B = (int)imgOutput.GetPixel((WindowX * 10 - 10 + PixelX), (WindowY * 10 - 10 + PixelY)).B;
// This is just to test
tempcounter = +tempcounter;
lblProgress.Text = tempcounter.ToString();
}
}
for (int tempx = 1; tempx <= 100; tempx++)
{
avrgR = +arrRGB[tempx].R;
avrgG = +arrRGB[tempx].G;
avrgB = +arrRGB[tempx].B;
}
arrWindows[WindowCount].R = (avrgR / 100);
arrWindows[WindowCount].G = (avrgG / 100);
arrWindows[WindowCount].B = (avrgB / 100);
WindowCount = +1;
}
}
return imgOutput;
}
现在,当算法开始运行时,我在此行收到 NullReferenceException 错误:
arrRGB[PixelCount].R = imgOutput.GetPixel(tempR.X, tempR.Y).R;
arrRGB[PixelCount].G = imgOutput.GetPixel(tempG.X, tempG.Y).G;
arrRGB[PixelCount].B = imgOutput.GetPixel(tempG.X, tempG.Y).B;
而它上面的行(Messagebox 语句)完美地返回了 RGB 值。有人可以向我解释为什么会这样吗?这真是令人沮丧。