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/**
* Image Filtering
* This sketch performs some image filtering (threshold, blur) and contour detection
*
* @author: Jordi Tost (@jorditost)
* @url: https://github.com/jorditost/ImageFiltering/tree/master/ImageFiltering
*
* University of Applied Sciences Potsdam, 2014
*
* It requires the ControlP5 Processing library:
* http://www.sojamo.de/libraries/controlP5/
*/
import gab.opencv.*;
import java.awt.Rectangle;
import processing.video.*;
import controlP5.*;
OpenCV opencv;
Capture video;
PImage src, preProcessedImage, processedImage, contoursImage;
ArrayList<Contour> contours;
float contrast = 1.35;
int brightness = 0;
int threshold = 75;
boolean useAdaptiveThreshold = false; // use basic thresholding
int thresholdBlockSize = 489;
int thresholdConstant = 45;
int blobSizeThreshold = 20;
int blurSize = 4;
// Control vars
ControlP5 cp5;
int buttonColor;
int buttonBgColor;
void setup() {
frameRate(15);
video = new Capture(this, 640, 480);
video.start();
opencv = new OpenCV(this, 640, 480);
contours = new ArrayList<Contour>();
size(opencv.width + 200, opencv.height, P2D);
// Init Controls
cp5 = new ControlP5(this);
initControls();
// Set thresholding
toggleAdaptiveThreshold(useAdaptiveThreshold);
}
void draw() {
// Read last captured frame
if (video.available()) {
video.read();
}
// Load the new frame of our camera in to OpenCV
opencv.loadImage(video);
src = opencv.getSnapshot();
///////////////////////////////
// <1> PRE-PROCESS IMAGE
// - Grey channel
// - Brightness / Contrast
///////////////////////////////
// Gray channel
opencv.gray();
//opencv.brightness(brightness);
opencv.contrast(contrast);
// Save snapshot for display
preProcessedImage = opencv.getSnapshot();
///////////////////////////////
// <2> PROCESS IMAGE
// - Threshold
// - Noise Supression
///////////////////////////////
// Adaptive threshold - Good when non-uniform illumination
if (useAdaptiveThreshold) {
// Block size must be odd and greater than 3
if (thresholdBlockSize%2 == 0) thresholdBlockSize++;
if (thresholdBlockSize < 3) thresholdBlockSize = 3;
opencv.adaptiveThreshold(thresholdBlockSize, thresholdConstant);
// Basic threshold - range [0, 255]
} else {
opencv.threshold(threshold);
}
// Invert (black bg, white blobs)
opencv.invert();
// Reduce noise - Dilate and erode to close holes
opencv.dilate();
opencv.erode();
// Blur
opencv.blur(blurSize);
// Save snapshot for display
processedImage = opencv.getSnapshot();
///////////////////////////////
// <3> FIND CONTOURS
///////////////////////////////
// Passing 'true' sorts them by descending area.
contours = opencv.findContours(true, true);
// Save snapshot for display
contoursImage = opencv.getSnapshot();
// Draw
pushMatrix();
// Leave space for ControlP5 sliders
translate(width-src.width, 0);
// Display images
displayImages();
// Display contours in the lower right window
pushMatrix();
scale(0.5);
translate(src.width, src.height);
displayContours();
displayContoursBoundingBoxes();
popMatrix();
popMatrix();
}
/////////////////////
// Display Methods
/////////////////////
void displayImages() {
pushMatrix();
scale(0.5);
image(src, 0, 0);
image(preProcessedImage, src.width, 0);
image(processedImage, 0, src.height);
image(src, src.width, src.height);
popMatrix();
stroke(255);
fill(255);
text("Source", 10, 25);
text("Pre-processed Image", src.width/2 + 10, 25);
text("Processed Image", 10, src.height/2 + 25);
text("Tracked Points", src.width/2 + 10, src.height/2 + 25);
}
void displayContours() {
for (int i=0; i<contours.size(); i++) {
Contour contour = contours.get(i);
noFill();
stroke(0, 255, 0);
strokeWeight(3);
contour.draw();
}
}
void displayContoursBoundingBoxes() {
for (int i=0; i<contours.size(); i++) {
Contour contour = contours.get(i);
Rectangle r = contour.getBoundingBox();
if (//(contour.area() > 0.9 * src.width * src.height) ||
(r.width < blobSizeThreshold || r.height < blobSizeThreshold))
continue;
stroke(255, 0, 0);
fill(255, 0, 0, 150);
strokeWeight(2);
rect(r.x, r.y, r.width, r.height);
}
}
//////////////////////////
// CONTROL P5 Functions
//////////////////////////
void initControls() {
// Slider for contrast
cp5.addSlider("contrast")
.setLabel("contrast")
.setPosition(20,50)
.setRange(0.0,6.0)
;
// Slider for threshold
cp5.addSlider("threshold")
.setLabel("threshold")
.setPosition(20,110)
.setRange(0,255)
;
// Toggle to activae adaptive threshold
cp5.addToggle("toggleAdaptiveThreshold")
.setLabel("use adaptive threshold")
.setSize(10,10)
.setPosition(20,144)
;
// Slider for adaptive threshold block size
cp5.addSlider("thresholdBlockSize")
.setLabel("a.t. block size")
.setPosition(20,180)
.setRange(1,700)
;
// Slider for adaptive threshold constant
cp5.addSlider("thresholdConstant")
.setLabel("a.t. constant")
.setPosition(20,200)
.setRange(-100,100)
;
// Slider for blur size
cp5.addSlider("blurSize")
.setLabel("blur size")
.setPosition(20,260)
.setRange(1,20)
;
// Slider for minimum blob size
cp5.addSlider("blobSizeThreshold")
.setLabel("min blob size")
.setPosition(20,290)
.setRange(0,60)
;
// Store the default background color, we gonna need it later
buttonColor = cp5.getController("contrast").getColor().getForeground();
buttonBgColor = cp5.getController("contrast").getColor().getBackground();
}
void toggleAdaptiveThreshold(boolean theFlag) {
useAdaptiveThreshold = theFlag;
if (useAdaptiveThreshold) {
// Lock basic threshold
setLock(cp5.getController("threshold"), true);
// Unlock adaptive threshold
setLock(cp5.getController("thresholdBlockSize"), false);
setLock(cp5.getController("thresholdConstant"), false);
} else {
// Unlock basic threshold
setLock(cp5.getController("threshold"), false);
// Lock adaptive threshold
setLock(cp5.getController("thresholdBlockSize"), true);
setLock(cp5.getController("thresholdConstant"), true);
}
}
void setLock(Controller theController, boolean theValue) {
theController.setLock(theValue);
if (theValue) {
theController.setColorBackground(color(150,150));
theController.setColorForeground(color(100,100));
} else {
theController.setColorBackground(color(buttonBgColor));
theController.setColorForeground(color(buttonColor));
}
}