I need to detect the width of these lines:
These lines are parallel and have some noise on them.
Currently, what I do is:
1.Find the center using thinning (ZhangSuen)
ZhanSuenThinning(binImage, thin);
2.Compute the distance transform
cv::distanceTransform(binImage, distImg, CV_DIST_L2, CV_DIST_MASK_5);
3.Accumulate the half distance around the center
double halfWidth = 0.0;
int count = 0;
for(int a = 0; a < thinImg.cols; a++)
for(int b = 0; b < thinImg.rows; b++)
if(thinImg.ptr<uchar>(b, a)[0] > 0)
{
halfWidth += distImg.ptr<float>(b, a)[0];
count ++;
}
4.Finally, get the actual width
width = halfWidth / count * 2;
The result, isn't quite good, where it's wrong around 1-2 pixels. On bigger Image, the result is even worse, Any suggestion?
The line width (ΔU) is defined as the distance between the points at which the absorption curve slope is maximal.
A line is a one-dimensional figure, which has length but no width.
You can adapt barcode reader algorithms which is the faster way to do it.
Scan horizontal and vertical lines. Lets X the length of the horizontal intersection with black line an Y the length of the vertical intersection (you can have it be calculating the median value of several X and Y if there are some noise).
X * Y / 2 = area
X²+Y² = hypotenuse²
hypotenuse * width / 2 = area
So : width = 2 * area / hypotenuse
EDIT : You can also easily find the angle by using PCA.
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