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</source> | </source> | ||
=== Maintaining Euglena identity in a list (based on proximity from frame to frame), computing speed as dx, dy === | === Maintaining Euglena identity in a list (based on proximity from frame to frame), computing speed as dx, dy and mean speed as mdx, mdy=== | ||
<source lang="java"> | <source lang="java"> |
Revision as of 09:26, 7 June 2015
Quick and dirty Euglena tracking using OpenCV, Syphon, and OSC.
- Full source: File:TrackEuglenaSyphonOSC.zip
Threshold based Euglena detection
opencv.loadImage(cam);
opencv.gray();
opencv.invert();
threshold = int(map(mouseX,0,width,0,255));
opencv.erode();
opencv.dilate();
opencv.threshold(threshold);
// ...
contours = opencv.findContours();
Skipping large/small contours
for (Contour contour : contours) {
float a = contour.area();
Rectangle r = contour.getBoundingBox();
float wh = float(r.width)/float(r.height);
if (a > minArea && wh > 0.1 && wh < 10 && a < maxArea) {
// ...
Maintaining Euglena identity in a list (based on proximity from frame to frame), computing speed as dx, dy and mean speed as mdx, mdy
void checkEuglena(Contour c) {
boolean found = false;
Rectangle r = c.getBoundingBox();
for (Euglena e : euglenaList) {
if (dist(e.x, e.y, r.x, r.y) < distanceThreshold) {
e.dx = e.x - r.x;
e.dy = e.y - r.y;
e.x = r.x;
e.y = r.y;
e.found = true;
found = true;
break;
}
}
if (!found) {
euglenaList.add(new Euglena(r.x, r.y));
}
}
void deleteEuglena() {
ListIterator<Euglena> iter = euglenaList.listIterator();
float newmdx = 0;
float newmdy = 0;
while (iter.hasNext()) {
Euglena e = iter.next();
if (e.found==false) iter.remove();
else {
e.found = false;
newmdx = newmdx + e.dx;
newmdy = newmdy + e.dy;
}
}
if (euglenaList.size() > 0) {
newmdx = newmdx / euglenaList.size();
newmdy = newmdy / euglenaList.size();
} else {
newmdx = 0;
newmdy = 0;
}
mdx += (newmdx - mdx)*0.01;
mdy += (newmdy - mdy)*0.01;
}