Steger_line_algorithm icon indicating copy to clipboard operation
Steger_line_algorithm copied to clipboard

Simple implementation in python of Steger algorithm to find curvilinear structure in a image

Results 3 Steger_line_algorithm issues
Sort by recently updated
recently updated
newest added

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. ![lines](https://user-images.githubusercontent.com/61875647/194138445-c0e383a4-a5f0-4417-ada1-fc8de905c6be.png) ![normals](https://user-images.githubusercontent.com/61875647/194138457-5ad344d3-8be2-40d3-8b9d-bbde08418adf.png)

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?