//////////////////////////////RGB CHANGE TO GREY SCALE COLOR///////////////////////// for(x=X_START;x<=X_END;x+=X_SKIP) //ORIGINAL IMAGE SIZE-X AXIS { for(y=Y_START_SE;y<=Y_END_SE;y+=Y_SKIP) //SELECTED SCAN AREA-Y AXIS(FR ORI SIZE) { color=pDC->GetPixel(x,y); m = 0.5*x; n = 0.5*y; r_image[m][n] = GetRValue(color); g_image[m][n] = GetGValue(color); b_image[m][n] = GetBValue(color); brightness_image[m][n] = ((222*r_image[m][n]+707*g_image[m][n]+71*b_image[m][n])/1000); if(brightness_image[m][n]<0) brightness_image[m][n] = 0; if(brightness_image[m][n]>255) brightness_image[m][n] = 255; Haugh_image[m][n]=0;//Haugh_image INITIALIZATION } } for(x=X_START;x<=X_END;x+=X_SKIP) //ORIGINAL IMAGE SIZE-X AXIS { for(y=Y_START_SE2;y<=Y_END_SE2;y+=Y_SKIP) //SELECTED SCAN AREA-Y AXIS(FR ORI SIZE) { color=pDC->GetPixel(x,y); m = 0.5*x; n = 0.5*y; r_image[m][n] = GetRValue(color); g_image[m][n] = GetGValue(color); b_image[m][n] = GetBValue(color); brightness_image[m][n] = ((222*r_image[m][n]+707*g_image[m][n]+71*b_image[m][n])/1000); if(brightness_image[m][n]<0) brightness_image[m][n] = 0; if(brightness_image[m][n]>255) brightness_image[m][n] = 255; Haugh_image[m][n]=0;//Haugh_image INITIALIZATION } } //////////////////EDGE DETACTION BY SOBEL FILTER & DENSITY CONVERSION/////////////////// //UPPER LEFT AREA for(x=X_START_L1+1;x<=X_END_L1-1;x++) { for(y=Y_START_TH+1;y<=Y_END_TH-1;y++) { d[0]=brightness_image[x-1][y-1]; d[1]=brightness_image[x-1][y]; d[2]=brightness_image[x-1][y+1]; d[3]=brightness_image[x][y-1]; d[4]=brightness_image[x][y]; d[5]=brightness_image[x][y+1]; d[6]=brightness_image[x+1][y-1]; d[7]=brightness_image[x+1][y]; d[8]=brightness_image[x+1][y+1]; yyy=(float)(cy[0]*d[0] + cy[1]*d[1] + cy[2]*d[2] +cy[3]*d[3] +cy[4]*d[4] +cy[5]*d[5] +cy[6]*d[6] + cy[7]*d[7] + cy[8]*d[8]); zzz=(float)(sqrt(yyy*yyy)); dat=(int)zzz; if(dat>255) dat= 255; sobel_image[x][y] = 255-(char)dat; a = sobel_image[x][y]; pDC->SetPixel(x,y,RGB(a,a,a)); } } //UPPER RIGHT AREA for(x=X_START_R1+1;x<=X_END_R1-1;x++) { for(y=Y_START_TH+1;y<=Y_END_TH-1;y++) { d[0]=brightness_image[x-1][y-1]; d[1]=brightness_image[x-1][y]; d[2]=brightness_image[x-1][y+1]; d[3]=brightness_image[x][y-1]; d[4]=brightness_image[x][y]; d[5]=bri

hhmmm....just as an additional info...how to display the histogram of the image using the visual C++ (MFC)?

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yups...quite urgent...

let say, there is a track....my mobile robot need to move along the track...the track is about 3 cm width...the reference for the mobile robot is the center point of the track...how can i get the center point? im using the edge detection method but still cannot find the center point

let say, there is a track....my mobile root need to move along the track...the track is about 3 cm width...the reference for the mobile robot is the center point of the track...how can i get the center point?

hhmm....how to find the center point of 2 lines using the visual c++. i need to find the center point of a track...actually,i'm using the video instead of static image. i have already got the binary image and stuck at this stage. please help me anyone?