Clustering

I have an image with lot of line segments. I have to find the lines which have nearly same theta and rho (theta -orientation rho -the shortest distance between the line segment and the origin - like as in Hough transform). I have to find the lines which have nearly same theta and rho. How Can I do that?
Is it possible to do this by clustering rho theta matrix (Nx2 matrix)? if so what is the best algorithm to cluster this? (I don't know the number of clusters or centroids). I have tried with kmeans but didnot get good results.

Answers (1)

Elad
Elad on 30 May 2012

0 votes

try imopen with strel('line',rho,theta)

Asked:

bes
on 30 May 2012

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