I'm playing with GD library for a while and more particuraly with Bezier curves atm.
I used some existant class which I modified a little (seriously eval()
...). I found out it was a generic algorithm used in and convert for GD.
Now I want to take it to another level: I want some colors.
No problem for line color but with fill color it's harder.
My question is:
Is there any existant algorithm for that? I mean mathematical algorithm or any language doing it already so that I could transfer it to PHP + GD?
EDIT2 So, I tried @MizardX solution with a harder curve :
Which should show this :
And gives this :
EDIT
I already read about @MizardX solution. Using imagefilledpolygon
to make it works.
But it doesn't work as expected. See the image below to see the problem.
Top graph is what I expect (w/o the blackline for now, only the red part).
Coordinates used:
Bottom part is what I get with that kind of algorithm...
A Bézier curve (/ˈbɛz. i. eɪ/ BEH-zee-ay) is a parametric curve used in computer graphics and related fields. A set of discrete "control points" defines a smooth, continuous curve by means of a formula.
This yields three intermediate control points q0(1/3), q1(1/3) and q2(1/3). Finally, apply de Casteljau's algorithm to these three new control points with u = 2/3. The result is p(2/3,1/3) which is colored in yellow in the figure.
Bezier Curve Equation-P(t) = Any point lying on the bezier curve. Bi = ith control point of the bezier curve. n = degree of the curve. Jn,i(t) = Blending function = C(n,i)ti(1-t)n-i where C(n,i) = n! / i!(
Convert the Bezier curve to a polyline/polygon, and fill that. If you evaluate the Bezier polynomial at close enough intervals (~1 pixel) it will be identical to an ideal Bezier curve.
I don't know how familiar you are with Bezier curves, but here is a crash course:
<?php
// Calculate the coordinate of the Bezier curve at $t = 0..1
function Bezier_eval($p1,$p2,$p3,$p4,$t) {
// lines between successive pairs of points (degree 1)
$q1 = array((1-$t) * $p1[0] + $t * $p2[0],(1-$t) * $p1[1] + $t * $p2[1]);
$q2 = array((1-$t) * $p2[0] + $t * $p3[0],(1-$t) * $p2[1] + $t * $p3[1]);
$q3 = array((1-$t) * $p3[0] + $t * $p4[0],(1-$t) * $p3[1] + $t * $p4[1]);
// curves between successive pairs of lines. (degree 2)
$r1 = array((1-$t) * $q1[0] + $t * $q2[0],(1-$t) * $q1[1] + $t * $q2[1]);
$r2 = array((1-$t) * $q2[0] + $t * $q3[0],(1-$t) * $q2[1] + $t * $q3[1]);
// final curve between the two 2-degree curves. (degree 3)
return array((1-$t) * $r1[0] + $t * $r2[0],(1-$t) * $r1[1] + $t * $r2[1]);
}
// Calculate the squared distance between two points
function Point_distance2($p1,$p2) {
$dx = $p2[0] - $p1[0];
$dy = $p2[1] - $p1[1];
return $dx * $dx + $dy * $dy;
}
// Convert the curve to a polyline
function Bezier_convert($p1,$p2,$p3,$p4,$tolerance) {
$t1 = 0.0;
$prev = $p1;
$t2 = 0.1;
$tol2 = $tolerance * $tolerance;
$result []= $prev[0];
$result []= $prev[1];
while ($t1 < 1.0) {
if ($t2 > 1.0) {
$t2 = 1.0;
}
$next = Bezier_eval($p1,$p2,$p3,$p4,$t2);
$dist = Point_distance2($prev,$next);
while ($dist > $tol2) {
// Halve the distance until small enough
$t2 = $t1 + ($t2 - $t1) * 0.5;
$next = Bezier_eval($p1,$p2,$p3,$p4,$t2);
$dist = Point_distance2($prev,$next);
}
// the image*polygon functions expect a flattened array of coordiantes
$result []= $next[0];
$result []= $next[1];
$t1 = $t2;
$prev = $next;
$t2 = $t1 + 0.1;
}
return $result;
}
// Draw a Bezier curve on an image
function Bezier_drawfilled($image,$p1,$p2,$p3,$p4,$color) {
$polygon = Bezier_convert($p1,$p2,$p3,$p4,1.0);
imagefilledpolygon($image,$polygon,count($polygon)/2,$color);
}
?>
Edit:
I forgot to test the routine. It is indeed as you said; It doesn't give a correct result. Now I have fixed two bugs:
$p1
and $p2
. I renamed them $prev
and $next
.while
-loop. Now it loops until the distance is small enough, instead of big enough.I checked the algorithm for generating a Polygon ensuring a bounded distance between successive parameter-generated points, and seems to work well for all the curves I tested.
Code in Mathematica:
pts={{50,50},{300,225},{300,25},{50,200}};
f=BezierFunction[pts];
step=.1; (*initial step*)
While[ (*get the final step - Points no more than .01 appart*)
Max[
EuclideanDistance @@@
Partition[Table[f[t],{t,0,1,step}],2,1]] > .01,
step=step/2]
(*plot it*)
Graphics@Polygon@Table[f[t],{t,0,1,step}]
.
.
The algorithm could be optimized (ie. generate less points) if you don't require the same parameter increment between points, meaning you can chose a parameter increment at each point that ensures a bounded distance to the next.
Random examples:
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