Contour Approximation OpenCV

arp1561_ans
11 ●1 ●1 ●2

4284 ●7 ●30 ●60

I am using opencv for python. For a bad shape, we use approxpolyDP().For this, I created a bad rectangle(added to the post)

While using this, I only get 2 dots and not a proper rectangle.

Can anyone help me why this is happening?

import cv2
import numpy as np

im = cv2.imread("badrect.png")
img = im
img = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
canny = cv2.Canny(img,100,200)


(_,cnts,_) = cv2.findContours(canny,cv2.RETR_TREE,cv2.CHAIN_APPROX_NONE)

cnt = cnts[0]

epsilon = 0.1*cv2.arcLength(cnt,True)
approx = cv2.approxPolyDP(cnt,epsilon,True)

cv2.drawContours(im,approx,-1,(0,255,0),3)

cv2.imshow("img",im)
cv2.waitKey(0)
cv2.destroyAllWindows()

This is how the output comes out as

This is my desired result This is my desired result!

answered Nov 27 '15

pklab

4284 ●7 ●30 ●60

updated Nov 28 '15

approxPolyDP can't do what you are looking for becase you have to find right epsilon that cuts just "defects", check the doc or Douglas-Peucker algorithm

You can use convexHull image description

vector<cv::Point> hull;
cv::convexHull(contours[i], hull);
//draw it
cv::polylines(im, hull, true, cv::Scalar(255, 0, 0));

or approx it a bit more image description

double len = arcLength(hull, true);
double epsilon = 0.02*len;
vector<cv::Point> approx;
cv::approxPolyDP(hull, approx, epsilon, true);
cv::polylines(im, approx, true, cv::Scalar(0, 255, 0));

Or minAreaRect image description

cv::RotatedRect rr;
rr = cv::minAreaRect(contours[i]);
//draw the rectangle
cv::Point2f rect_points[4];
rr.points(rect_points);
for (int j = 0; j < 4; j++)
    cv::line(im, rect_points[j], rect_points[(j + 1) % 4], cv::Scalar(0, 0, 255), 2, 8);

OR look at find square example: https://github.com/Itseez/opencv/blob...

Comments

I still dont get a line around the rectangle

import cv2
import numpy as np

im = cv2.imread("badrect.png")
img = im
img = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
ret,thresh = cv2.threshold(img,127,255,cv2.THRESH_BINARY)

(_,cnts,_) = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_NONE)

cnt = cnts[1]
hull = cv2.convexHull(cnt)
cv2.drawContours(im,hull,-1,(0,255,0),3)

cv2.imshow("img",im)
cv2.waitKey(0)
cv2.destroyAllWindows()

Here -> This is how it looks http://postimg.org/image/o9zuq40hl/23...

If you could help me, that would be great since i am stuck here for a very long time

arp1561_ans (Nov 28 '15)edit

@arp1561_ans please you are using 2 answer for same issue. Use just one !

ConvexHull solve your problem check your code with suggested tutorial. Drawing Functions in OpenCV, Contours - 1: Getting Started , Contours - 2 : Brotherhood, Contours in OpenCV

pklab (Nov 28 '15)edit

add a comment

Contour Approximation OpenCV

1 answer

Comments

Links

Question Tools

Stats

Related questions

Contour Approximation OpenCV edit savecancel

1 answer

Comments

Links

Question Tools

Stats

Related questions

Contour Approximation OpenCV