//---------------------------------------------------------------------------------------------
//returns the attention point with the maximum response in the given source image
//---------------------------------------------------------------------------------------------
public int getMaxAttentionPoint(classimage source_img, int search_radius)
{
int i,x,y,c,winner,cx=0,cy=0,mx,my;
long max,pixels,p;
max=0;
winner=-1;
for (i=0;i<NoOfAttentionPoints;i++)
{
mx = attentionPoint[i,0];
my = attentionPoint[i,1];
source_img.CG(mx-search_radius,my-search_radius,mx+search_radius,my+search_radius,0,0,0,ref cx,ref cy,0);
attentionPoint[i,0] = cx;
attentionPoint[i,1] = cy;
p=0;
pixels=1;
for (x=cx-search_radius;x<cx+search_radius;x++)
{
if ((x>=0) && (x<width))
{
for (y=cy-search_radius;y<cy+search_radius;y++)
{
if ((y>=0) && (y<height))
{
for (c=0;c<3;c++) p += source_img.image[x,y,c];
}
pixels++;
}
}
}
if (p>max)
{
max = p;
winner=i;
}
}
attentionWinner=winner;
return(winner);
}
//---------------------------------------------------------------------------------------------
//find maximal gravity wells in the image
//---------------------------------------------------------------------------------------------
public void findGravityWells(classimage source_img, int search_radius)
{
int x,y,c,border,cx=0,cy=0,tx,ty,bx,by,inhibit_radius;
//bool found;
border = search_radius/2;
inhibit_radius = border/2;
for (x=0;x<width;x++)
for (y=0;y<height;y++)
for (c=0;c<3;c++)
image[x,y,c]=0;
for (x=0;x<width;x++)
for (y=0;y<height;y++)
{
tx = x-border;
ty = y-border;
bx = x+border;
by = y+border;
source_img.CG(tx,ty,bx,by,0,0,0,ref cx,ref cy,0);
if (!((cx==0) && (cy==0)))
{
//are there any pixels within the inhibition region?
//found=false;
if ((cx>tx+inhibit_radius) && (cx<bx-inhibit_radius))
{
if ((cy>ty+inhibit_radius) && (cy<by-inhibit_radius))
{
for (c=0;c<3;c++) image[cx,cy,c]=255;
}
}
}
}
}
