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In short: As you should know, the Houghtransformation maps your input image from spatial domain into the Houghspace. You do this with a certain resolution(rho, theta), let's say your accuracy: e.g. you can map your pixels from spatial domain into Houghspace with a stepsize, that defines how often you should change the angle to observe and map the pixels into Houghspace. The smaller the stepsize the more dense your Houghspace will become. Hope that helps you to understand the parameters and the transformation.
