本文实例讲述了C#图像处理之图像均值方差计算的方法。分享给大家供大家参考。具体如下：
//本函数均是基于RGB颜色空间计算 //定义图像均值函数（RGB空间） public double AnBitmap(Bitmap a) { double V = 0; Rectangle rect = new Rectangle(0, 0, a.Width, a.Height); System.Drawing.Imaging.BitmapData bmpData = a.LockBits(rect, System.Drawing.Imaging.ImageLockMode.ReadWrite, System.Drawing.Imaging.PixelFormat.Format24bppRgb); unsafe { byte* pIn = (byte*)bmpData.Scan0.ToPointer(); byte* P; int R, G, B; double meanvalue = 0, sum = 0; int stride = bmpData.Stride; for (int y = 0; y < a.Height; y++) { for (int x = 0; x < a.Width; x++) { P = pIn; B = P[0]; G = P[1]; R = P[2]; sum += B * 0.114 + G * 0.587 + R * 0.299; pIn += 3; } pIn += stride - a.Width * 3; } meanvalue = sum / (a.Width * a.Height); V = meanvalue; } a.UnlockBits(bmpData); return V; //返回图像均值V } //定义图像统计方差函数（RGB空间） public double AnCONBitmap(Bitmap a,double meanvalue) { double V = 0; Rectangle rect = new Rectangle(0, 0, a.Width, a.Height); System.Drawing.Imaging.BitmapData bmpData = a.LockBits(rect, System.Drawing.Imaging.ImageLockMode.ReadWrite, System.Drawing.Imaging.PixelFormat.Format24bppRgb); unsafe { byte* pIn = (byte*)bmpData.Scan0.ToPointer(); byte* P; int R, G, B; double conv = 0, sum = 0; int stride = bmpData.Stride; for (int y = 0; y < a.Height; y++) { for (int x = 0; x < a.Width; x++) { P = pIn; B = P[0]; G = P[1]; R = P[2]; sum += (B * 0.114 + G * 0.587 + R * 0.299 - meanvalue) * (B * 0.114 + G * 0.587 + R * 0.299 - meanvalue); pIn += 3; } pIn += stride - a.Width * 3; } conv = sum / (a.Width * a.Height-1); V = conv; } a.UnlockBits(bmpData); return V; //返回图像方差V }
希望本文所述对大家的C#程序设计有所帮助。
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