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The Hough Transform, originally described in a patent by Paul Hough, is a point-to-curve transformation, that has many applications in pattern recognition. It can detect the presence of a parametrically representable group of point in a bitmap image, such as a straight line or a circle, through a mapping to a parameter space. This is regarded as an n-dimensional matrix of accumulator (where n ... If you filter using a Hough Transform you are going to throw away any edge that doesn't take the specified shape. You could raise the threshold for edge detection, thereby reducing aberrant edges. If this causes the identified edges to be fragmented, you can do ridge tracing to reconnect everything. View Entire Discussion (5 Comments) The code consists of an automatic segmentation system that is based on the Hough transform, and is able to localize the circular iris and pupil region, occluding eyelids and eyelashes, and reflections. The extracted iris region was then normalized into a rectangular block with constant dimensions to account for imaging inconsistencies. The HOUGH function implements the Hough transform, used to detect straight lines within a two-dimensional image.