使用带有opencv库的边缘检测程序将图像分离为组件进行处理

Question

image I want to detect edges from: click here edges drawn by finding canny edges in program: click here I am using the opencv library with processing so that I can perform edge detection in order to split my image into different objects / components. I have been able to achieve this using canny edge detection. This gives me a second image of a black background with grey lines representing where edges have been detected. However, I then need to be able to separate this black image with edges into recognizable regions / objects that the program will understand as being different - I was thinking if I could assign a unique color for each region bounded by an edge. Then I would be able to loop through the whole image's pixel array and treat each region differently depending on its unique color.

However, my problem is that I do not know how to get processing to assign a unique color for each region which is bounded by an edge. I have tried using for loops in countless ways so that it can find and assign different regions but no matter what I try it hasn't worked. Was wondering if anyone has any solutions? Here is the code:

import gab.opencv.*;

import processing.video.*;

OpenCV opencv;
Capture src;
PImage canny, ref, comb, comb2, tiles;
color [] combColour = new color [0];
int c = 0;
int threshold = 20;

int a = 100;
int b = 100;
int x = 0;
int y = 0;
Boolean dir = true;
int ydirection = 1;
int xdirection = 1;

void setup(){
  src = new Capture(this, 640, 480);
  size(640, 480, P2D);
  src.start();

  ref = createImage(width/2, height/2, HSB);
  tiles = loadImage("tiles2.png");

  opencv = new OpenCV(this, tiles);
  opencv.findCannyEdges(20, 75);
  canny = opencv.getSnapshot();

}

void draw(){
updatePixels();
src.read();



 loadPixels();
 pushMatrix();

image(tiles, 0, 0, width/2, height/2);


opencv.loadImage(tiles);
opencv.findCannyEdges(20, 75);
canny = opencv.getSnapshot();




image(canny, 0, height/2, width/2, height/2);
if (c == 5){
comb = get(0, height/2, width/2, height/2);
comb2 = get(0, height/2, width/2, height/2);
}
if ( c >= 5){
comb.loadPixels();
int loc = x + y*comb.width;
color currentColor = comb.pixels[loc];
if (brightness(currentColor) < 10){

 comb.pixels[loc] = color(hue(a), saturation(b), brightness(currentColor));

}

else if (brightness(currentColor) > 150){
 comb.pixels[loc] = currentColor;
   if ( a >= 235){

 a = 0;
}
else{
 a += 20;
}
 if ( b >= 235){
 b = 0;
}
else {
 b += 20;
}

}

if (y  >= comb.height -1){ 
x += 1;
y = 0;
println("one" + x);
}
else{
y += 1;
println("two" + y);
}

println("a " + a);

comb.updatePixels();



image(comb, width/2, height/2);
image(comb2, width/2, 0);
 }

popMatrix();

updatePixels();

c += 1;
}

Answer 1

I am probably late in answering this question but may be you can try using Hough Probabilistic Transform, http://docs.opencv.org/2.4/doc/tutorials/imgproc/imgtrans/hough_lines/hough_lines.html . Once you can the lines you can probably sort them in (x,y) coordinates and fill the regions with your desired, unique colors. The image which you uploaded shouldn't have any issues with canny i suppose. Let me know how it works.