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0
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0answers
26 views

What are the similarities of Radon and Hough Transform? [duplicate]

What are the similarities of Radon and Hough transform in the context of image processing? They both seem to return the same result. I am aware from another question here that Hough transform produces ...
2
votes
1answer
90 views

Improving the performance of the Hough transform

I have just started doing image processing, and I am currently working on line detection. I am using Hough transform on the image below. I'm wondering how I can improve the efficiency of the Hough ...
1
vote
2answers
109 views

hough voting, turning transformation into a vote

I need help understanding how/what does it mean to "turn" a transformation parameters into a vote. I know how to recover the transformation parameters (in my case: 6 DOF), but how this turns into a ...
9
votes
2answers
620 views

Alternatives to Hough transform for detecting a grid-like structure

I have an image which is composed of multiple 'angles' which form a grid shape: After some searching, Hough seemed like a good fit, because it isn't troubled by breaks in lines. However, the ...
4
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2answers
812 views

find the gradient direction at a point in a shape

I am trying to implement the generalized Hough transform in matlab. The algorithm requires the gradient direction at each point in the shape. How can I measure $ \phi $ as shown in the figure below? ...
11
votes
3answers
1k views

help understanding hough transform

I'm trying to get a Hough transform to work in MATLAB, but I'm having problems. I have a really bad way of detecting peaks that needs to be fixed, but before that I need to be able to reverse the ...
8
votes
4answers
393 views

How to do De-Houghing of a Hough transform'ed Image?

I'm working with code found at Rosetta Code for creating a Hough transform. I now want to find all the lines in an image. To do so I need the ρ and θ values of each of the peaks in the Hough space. A ...
11
votes
1answer
391 views

Detection of circles (ellipses) in 2D point cloud

Given a set of points (2D) i.e., point cloud (PC), the question is about a robust, accurate and ...