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Hi All,

I am using Hough Transform to detect lines on an image. I want to compute and associate a confidence value with each line. So, I can pick the top 10% lines and used those lines for further analysis. The confidence value indicates the most probable line or edge in an image.

Can you someone guide me ? I want to use a standard approach (used by anyone) to estimate confidence value !!

OpenCV documents states that Probabilistic Hough Transform returns lines based on confidence. Such as the 1st line has highest confidence and so on. How that confidence is computed and is there a way to get those confidence values?

Hi All,

I am using Hough Transform to detect lines on an image. I want to compute and associate a confidence value with each line. So, I can pick the top 10% lines and used those lines for further analysis. The confidence value indicates the most probable line or edge in an image.

Can you someone guide me ? I want to use a standard approach (used by anyone) to estimate confidence value !!

OpenCV documents states I saw a discussion that Probabilistic Hough Transform returns lines based on confidence. Such as the 1st line has highest confidence and so on. How that confidence is computed and is there a way to get those confidence values?values? Or is there a way to get the accumulator peaks associated with each point detected by Hough transform