Urgent Request! Image Matching Algorithm Code

procedure ImageMatching

{

Input FirstImage;

Input SecondImage;

//Get the size of the two images

Height1= GetImageHeight(FirstImage);

Height2=GetImageHeight(SecondImage);

Width1=GetImageWidth(FirstImage);

Width2= GetImageWidth(SecondImage);

/// Take the grid matching template from the second image

SecondImageGrid = GetSecondImageGrid(SecondImage);

/// Roughly matching, the grid moves from the left to the right first image, then from the bottom to the bottom of the first image. left to right, then bottom to top, one grid spacing at a time, Step_Width or Step_Height, ends when the grid moves out of the overlap area

y=Heitht1-GridHeight;

MinValue = MaxInteger;

While ( y& lt;Height1-OverlapNumber)//End when the grid moves out of the overlap

{

x=Grid_Width/2; //The horizontal coordinate of point A when the grid is at the far left of the first image.

While ( x<(Width1-Grid_Width/2) )

{

FirstImageGrid=GetImgaeGrid(FirstImgaeGrid, x, y);

differ=CaculateDiff( FirstImgaeGrid, SecondImageGrid);//calculate the flat of the pixel value difference

//square sum

if (differ<MinValue)

{

BestMatch_x=x;

BestMatch_y= y;

MinValue = differ;

}

x= x+Step_width;

}

y=y-Step_Height;

}

Step_Width= Step_ Width/2;

Step_Height= Step_Height/2;

While ( Step_Height>0 & Step_Width>0)//End when both horizontal and vertical steps are reduced to zero

{

if( Step_Height==0)//Set to 1 when only vertical steps are decremented to zero

Step_Height=1;

If(Step_Width==0) //Set to 1 when only horizontal steps are decremented to zero

Step_Width=1;

temp_ x = BestMatch_x;

temp_y = BestMatch_y;

for ( i= -1; i<1; i++)

for( j= -1; j<1; j++)

{

if ((i=0&j!=0)|(i! =0&j=0))

{

FirstImageGrid=GetImgaeGrid(FirstImgaeGrid,

temp_x+i*Step_Width, temp_y +j*Step_Height);

differ=CaculateDiff(FirstImgaeGrid, SecondImageGrid);

if (differ<MinValue)

{

BestMatch_x=x;

BestMatch_y=y ;

MinValue = differ;

}

}

}

Step_Height = Step_Height /2;

Step_Width = Step_Width/2;

}

}

}

} p>

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