Steger_line_algorithm
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Simple implementation in python of Steger algorithm to find curvilinear structure in a image
I am visualizing the eigenvector corresponding to the eigenvalue with the highest value (dir) on simple shapes but they seem to point in kind of random directions.  
The kernels are not the kernels specified in the paper (eq 25 - 29). In fact they are in weird column/row - vector shapes when they should be square matrices.
This implementation only features finding potential line points right? Do you plan to add the linking algorithm or am I missing something?