Win8 Metro (C #) Digital Image processing--2.51 image statistics filtering algorithm

Original: Win8 Metro (C #) Digital Image processing--2.51 image statistical filtering algorithm

??

[ function name ]

? ? image statistics filter ??? WriteableBitmap ? Statisticalfilter ( writeablebitmap ? src, Double ? T)

<summary>//statistical filtering process. </summary>//<param name= "src" >the source image.</param>//<param name= "T" >t He threshould to adjust filter effect.</param>//<returns></returns> public static Write                Ablebitmap statisticalfilter (writeablebitmap src,double T)////Image Statistics Filter {if (src! = null) { int w = src.                Pixelwidth; int h = src.                Pixelheight;                WriteableBitmap srcimage = new WriteableBitmap (w, h); byte[] temp = src.                Pixelbuffer.toarray (); Byte[] Tempmask = (byte[]) temp.                Clone ();                Double mean = 0;                Double std = 0;                int[] Windowvalue = new INT[9];                Double MR = 0;                Double MG = 0;                Double MB = 0; for (int j = 1; j < H-1; J + +) {for (int i = 1; i < W1; i++) {windowvalue[0] = (int) (tempmask[(i-1) * 4 + (j-1) * W * 4] * 0.114 +                        tempmask[(i-1) * 4 + 1 + (j-1) * W * 4] * 0.587 + tempmask[(i-1) * 4 + 2 + (j-1) * W * 4] * 0.299);  WINDOWVALUE[1] = (int) (TEMPMASK[I * 4 + (j-1) * W * 4] * 0.114 + tempmask[i * 4 + 1 + (j-1) * W * 4] * 0.587                        + tempmask[i * 4 + 2 + (j-1) * W * 4] * 0.299); WINDOWVALUE[2] = (int) (tempmask[(i + 1) * 4 + (j-1) * W * 4] * 0.114 + tempmask[(i + 1) * 4 + 1 + (j-1) * W * 4] * 0.5                        + tempmask[(i + 1) * 4 + 2 + (j-1) * W * 4] * 0.299);  WINDOWVALUE[3] = (int) (tempmask[(i-1) * 4 + J * W * 4] * 0.114 + tempmask[(i-1) * 4 + 1 + J * W * 4] * 0.587 + tempmask[(i                        -1) * 4 + 2 + J * W * 4] * 0.299); WINDOWVALUE[4] = (int) (Tempmask[i * 4 + J * W * 4] * 0.114 + tempmask[i * 4 + 1 + J * W * 4] * 0.587 + tempmask[i * 4 + 2                        + J * W * 4] * 0.299); WindOWVALUE[5] = (int) (tempmask[(i + 1) * 4 + J * W * 4] * 0.114 + tempmask[(i + 1) * 4 + 1 + J * W * 4] * 0.587 + tempmask[(i                        + 1) * 4 + 2 + J * W * 4] * 0.299); WINDOWVALUE[6] = (int) (tempmask[(i-1) * 4 + (j + 1) * W * 4] * 0.114 + tempmask[(i-1) * 4 + 1 + (j + 1) * W * 4] * 0.5                        + tempmask[(i-1) * 4 + 2 + (j + 1) * W * 4] * 0.299); WINDOWVALUE[7] = (int) (TEMPMASK[I * 4 + (j + 1) * W * 4] * 0.114 + tempmask[i * 4 + 1 + (j + 1) * W * 4] * 0.587 + tempmas                        K[i * 4 + 2 + (j + 1) * W * 4] * 0.299); WINDOWVALUE[8] = (int) (tempmask[(i + 1) * 4 + (j + 1) * W * 4] * 0.114 + tempmask[(i + 1) * 4 + 1 + (j + 1) * W * 4] * 0.5                        + tempmask[(i + 1) * 4 + 2 + (j + 1) * W * 4] * 0.299); for (int n = 0; n < 9; n++) {mean + = (double) ((double) (windowvalue[n                        ])/9);               } for (int n = 0; n < 9; n++)         {std + = Math.pow ((double) (windowvalue[n])-mean, 2)/9;                            } if (Windowvalue[4] >= T * MATH.SQRT (STD)) { for (int k =-1, k < 2; k++) {for (int m =-1; m < 2; m++                      ) {MB + = (double) tempmask[(i + M) * 4 + (j + k) * W * 4]/9;                      MG + = (double) tempmask[(i + M) * 4 + 1 + (j + k) * W * 4]/9;                                MR + = (double) tempmask[(i + M) * 4 + 2 + (j + k) * W * 4]/9;                            }} Temp[i * 4 + J * W * 4] = (byte) MB;                            Temp[i * 4 + 1 + J * W * 4] = (byte) MG;                        Temp[i * 4 + 2 + J * W * 4] = (byte) MR;                        } mean = 0;         std = 0;               MR = MG = MB = 0;                }} Stream Stemp = SrcImage.PixelBuffer.AsStream ();                Stemp.seek (0, Seekorigin.begin);                Stemp.write (temp, 0, W * 4 * h);            return srcimage;            } else {return null; }        }

Win8 Metro (C #) Digital Image processing--2.51 image statistics filtering algorithm