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How to slice image with respect to horizontal line pattern

asked 2016-11-29 12:25:58 -0500

VishalNair gravatar image

updated 2016-11-29 12:26:56 -0500

I am new to opencv and trying out segmenting operations. I have this processed image as follows --> image description

I want to slice the image into separate blocks only if the line covers about 70% of the total width as shown in below image -->

image description

I tried HoughLine Transform as given in this link but the results were completely wrong and not even close. Please explain how to solve this problem with code.

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answered 2016-11-29 12:44:42 -0500

Tetragramm gravatar image

updated 2016-11-29 13:17:47 -0500

I think the example was intended for something smaller than your image. Try this.

EXPLANATION EDIT: I extended the size of the lines it draws to 5000 pixels, cause it's a big image. The most important changes are to the HoughLines call.

  • The (1) is rho is the distance of the accumulator in pixels, and I just used the value from the tutorial.
  • The (CV_PI/180) is the angular resolution of the accumulator in radians, and this is a value of 1 degree.
  • The (dst.cols*0.5) is the number of pixels that must be accumulated to count as a line, which I have set to half the width of the image. This is your main control over what qualifies as a line.
  • The (0, 0) are telling it to use the classical Hough transform, not the multi-scale one.
  • The (89 * CV_PI / 180, 91 * CV_PI / 180) are the min and max theta. Since 0 is a vertical line, and you just want horizontal lines, we restrict it to a small distance +/- 1 degree around 90. You can possibly make this even smaller. Probably, just 90/90. That might get rid of the duplicates.

.

Mat dst = imread("lines.jpg");
Mat cdst = dst.clone();
cvtColor(dst, dst, COLOR_BGR2GRAY);
threshold(dst, dst, 1, 255, THRESH_BINARY);
vector<Vec2f> lines;
HoughLines(dst, lines, 1, CV_PI / 180, dst.cols*0.5, 0, 0, 89 * CV_PI / 180, 91 * CV_PI / 180);

for (size_t i = 0; i < lines.size(); i++)
{
    float rho = lines[i][0], theta = lines[i][1];
    Point pt1, pt2;
    double a = cos(theta), b = sin(theta);
    double x0 = a*rho, y0 = b*rho;
    pt1.x = cvRound(x0 + 5000 * (-b));
    pt1.y = cvRound(y0 + 5000 * (a));
    pt2.x = cvRound(x0 - 5000 * (-b));
    pt2.y = cvRound(y0 - 5000 * (a));
    line(cdst, pt1, pt2, Scalar(0, 0, 255), 3, CV_AA);
}
imshow("source", dst);
imshow("detected lines", cdst);
waitKey();
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thanks pretty better results !! Can you explain a bit and also sometimes one extra line is getting added on the same line.

VishalNair gravatar imageVishalNair ( 2016-11-29 12:58:37 -0500 )edit

@Tetragramm - Great explanation thanks a lot !!! .Plus just would like to mention a graphical representation of what you explained --> www.stackoverflow.com/questions/18782873/houghlines-transform-in-opencv

VishalNair gravatar imageVishalNair ( 2016-11-29 13:24:16 -0500 )edit
1

The dist.cols*0.5 Only lines with white in pixels equal to that number are returned. So you can adjust the length of lines needed by altering that number.

Tetragramm gravatar imageTetragramm ( 2016-11-29 13:39:41 -0500 )edit

also take a look at this. if your lines is perfectly horizontal you can use this code. it gives the rects you want.

sturkmen gravatar imagesturkmen ( 2016-11-29 13:41:56 -0500 )edit

@Tetragramm - O Sorry.My Mistake I missed the third point you mentioned in the answer .

VishalNair gravatar imageVishalNair ( 2016-11-29 13:43:30 -0500 )edit
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Asked: 2016-11-29 12:25:58 -0500

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Last updated: Nov 29 '16