Detect grid nodes using OpenCV (or using something else)

Question

I have a grid on pictures (they are from camera). After binarization they look like this (red is 255, blue is 0):

What is the best way to detect grid nodes (crosses) on these pictures? Note: grid is distorted from cell to cell non-uniformly.

Update:

Some examples of different grids and thier distortions before binarization:

Answer 1

I suppose that this can be a potential answer (actually mentioned in comments): http://opencv.itseez.com/2.4/modules/imgproc/doc/feature_detection.html?highlight=hough#houghlinesp

There can also be other ways using skimage tools for feature detection.

But actually I think that instead of Hough transformation that could contribute to huge bloat and and lack of precision (straight lines), I would suggest trying Harris corner detection - http://docs.opencv.org/2.4/doc/tutorials/features2d/trackingmotion/harris_detector/harris_detector.html .

This can be further adjusted (cross corners, so local maximum should depend on crossy' distribution) to your specific issue. Then some curves approximation can be done based on points got.