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Clustering

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bes
bes 2012 年 5 月 30 日
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.

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回答 (1 件)

Elad
Elad 2012 年 5 月 30 日
try imopen with strel('line',rho,theta)

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