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How to draw line?

asked 2018-08-29 04:55:26 -0500

monxarat gravatar image

updated 2018-08-30 05:16:43 -0500

Hi guys, Have anyone could help me resolve this issue, or have any idea.

After applying a series of algorithms, I have the following result. screenshot from 2018-08-29 13-25-38 copy

How to draw line look like bellow. screenshot from 2018-08-29 13-25-38

I have to apply HoughLineP but not good. wwww

Code ``` pyrMeanShiftFiltering( img, res, spatialRad, colorRad, maxPyrLevel );

//imshow( "ShiftFiltering", res );

cvtColor(res, res, COLOR_RGBA2GRAY);

GaussianBlur(res, res, Size(15, 15), 0);

//imshow( "GaussianBlur", res );
adaptiveThreshold(res, res, 255, ADAPTIVE_THRESH_GAUSSIAN_C, THRESH_BINARY_INV, 11, 1);
//imshow( "adaptiveThreshold", res );

Mat element = getStructuringElement (MORPH_RECT, Size(3, 3));
morphologyEx(res, res, MORPH_CLOSE, element);

Mat edgs;
Canny(res, edgs, 750, 800, 3);
vector<Vec4f> lines3;
HoughLinesP(edgs, lines3, 1, CV_PI / 180, 20, 15, 10);

Mat markEdges = Mat(res.size(), CV_8UC3);
for (size_t i = 0; i < lines3.size(); i++)
{
    Vec4f l = lines3[i];
    double dest = euclideanDist(Point2f(l[0], l[1]), Point2f(l[2], l[3]));
    if (dest > 10) {
        line(markEdges, Point2f(l[0], l[1]), Point2f(l[2], l[3]), Scalar(0, 0, 255), 2, LINE_AA);
    }
}

imshow("markEdges", markEdges);

``` I have applied segment image (watershed) but not good. qqqq

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Comments

The HoughLinesP is the way to go. Just check the parameters. If you want to detect ling lines, then set the minLineLength parameter to something bigger (100-150 instead of 15). Use a higher threshold value, too. You can lower the size of the accumulator space to avoid double line detections.

kbarni gravatar imagekbarni ( 2018-08-29 05:24:53 -0500 )edit

I have config some value, the result is good, but. In my case. I want to detect the edges of the wall after measuring the length of its.

monxarat gravatar imagemonxarat ( 2018-08-29 06:48:11 -0500 )edit

How to merge some line to one line? (look like fitLine method).

monxarat gravatar imagemonxarat ( 2018-08-29 06:51:35 -0500 )edit

Also, before applying the HoughLinesP, like suggested by @kbarni, cleanup your image. There is a lot of noise that can be removed with morphological operations.

StevenPuttemans gravatar imageStevenPuttemans ( 2018-08-30 06:46:28 -0500 )edit
1

you can try lsd_lines.cpp instead of HoughLines. it produces better lines to be refined

sturkmen gravatar imagesturkmen ( 2018-08-30 07:04:38 -0500 )edit

Thank you @sturkmen. I have used it. Is very good.

monxarat gravatar imagemonxarat ( 2018-09-02 20:58:35 -0500 )edit

you can post your own answer if you solved the problem.

sturkmen gravatar imagesturkmen ( 2018-09-03 03:28:07 -0500 )edit

1 answer

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answered 2018-09-03 06:01:28 -0500

monxarat gravatar image

@sturkmen I have solved this issue following.

The first I have using FastLineDetector/LineSegmentDetector

Above two class has Implementation of merging line segments by TAVARES and PADILHA

Ptr<FastLineDetector> detector;
vector<Vec4i> lines;
detector->detect(grayscale, lines);

Remove small lie if we want.

vector<Vec4i> linesSmall;
copy_if (lines.begin(), lines.end(), back_inserter(linesWithoutSmall), [](Vec4f line){
        float length = sqrtf((Point 1, Point 2);
        return length > 50;// replace we want to filter.
});

Split your lines using cv::partition. You need to specify a good predicate function. It really depends on the lines which you extract from an image, but I think it should check the following conditions:

  • The angle between lines should be quite small (less 3 degrees, for example). Use the dot product to calculate angle's cosine.
  • The distance between the centers of segments should be less than half of the maximum length of two segments.

    vector<int> labels; int equilavence = partition(linesSmall, labels, {

Extend lines by percentage of line width

float len1 = calculator length of the line using hypot (have in cmath)
float len2 = calculator length of the line using hypot (have in cmath)

Append line if needed using fit line using least-squares problems.

Vec2f lineAfetFit = solve(...)
Vec4i el1 = append line 1;
Vec4i el2 = append line 2;

reject the lines that have wide difference in angles

float a1 = atan(solve(...));
    float a2 = atan(solve(...));
    if(fabs(a1 - a2) > maxAngleDiff * M_PI / 180.0){
            return false;
    }

Finds coordinates of perpendicular lines with length d in both line points https://math.stackexchange.com/a/2043...

vector<point2i> boundingLine; after calculating the window around the extended line at least one point needs to inside extended bounding rectangle of other lines.

using  https://docs.opencv.org/3.4.3/d3/dc0/group__imgproc__shape.html#ga1a539e8db2135af2566103705d7a5722
        pointPolygonTest(boundingLine, ,...,...);
});

Draw original detected lines

for (int i = 0; i < linesSmall.size(); i++){
Vec4i& line = linesSmall[i];
line(img,
     Point(line[0], line[1]),
     Point(line[2], line[3]), colors[labels[i]], 2);
}

Build point out of each equivalence classes vector<vector<point2i>> pointOut(equilavence);

for (int i = 0; i < linesSmall.size(); i++){
        Vec4i& line = linesSmall[i];
        pointOut[labels[i]].push_back(Point2i(line[0], line[1]));
        pointOut[labels[i]].push_back(Point2i(line[2], line[3]));
}

The fit line to each equivalence class point out Using fitLine() pointOut

vector<Vec4i> fittedLines = fitLine(...);

Finished to draw lines after fitting

for(Vec4i line: fittedLines){
        line();
}

Result

image description

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Asked: 2018-08-29 04:55:26 -0500

Seen: 279 times

Last updated: Sep 03 '18