In 1962 Hough earned the patent for a method [1], popularly called Hough Transform (HT)
that efficiently identifies lines in images. It is an important tool even after the golden jubilee …

The heavy burden of computational complexity and massive storage requirement is the
drawback of the standard Hough transform (HT). Besides, the Hough transform is also quite …

The authors describe a new algorithm for the fast Hough transform (FHT) that satisfactorily
solves the problems other fast algorithms propose in the literature-erroneous solutions, point …

A new and efficient version of the Hough transform for curve detection, the Randomized
Hough Transform (RHT), has been recently suggested. The RHT selects n pixels from an …

The Hough transform is a popular robust method for detecting lines in an image. However,
the computational complexity and storage requirements are the main bottlenecks of the …

We present a comprehensive review of the Hough transform, HT, in image processing and
computer vision. It has long been recognized as a technique of almost unique promise for …

The Hough transform is highly compute bound and demands a large amount of storage. In
this correspondence, a novel multiresolution implementation of the Hough transform has …

For more than half a century, the Hough transform is ever-expanding for new frontiers.
Thousands of research papers and numerous applications have evolved over the decades …

The Hough transform is a method for detecting curves by exploiting the duality between
points on a curve and parameters of that curve. The initial work showed how to detect both …

A new algorithm for computing the Hough transform is presented. It calculates the
parameters associated with all possible combinations of two-point line segments among the …