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 …

An image line segment is a fundamental low-level visual feature that delineates straight,
slender, and uninterrupted portionsof objects and scenarios within images. Detection and …

We propose a method to locate three vanishing points on an image, corresponding to three
orthogonal directions of the scene. This method is based on two cascaded Hough …

Stereo vision, motion and structure parameter estimation, and pose determination are three
important problems in 3-D computer vision. The first step in all of these problems is to …

In a wide range of image processing and computer vision problems, line segment detection
is one of the most critical challenges. For more than three decades researchers have …

A fast digital Radon transform based on recursively defined digital straight lines is described,
which has the sequential complexity of 0 (N'log N) additions for an N x N image. This …

The ability of parallel computing to process large data sets and handle time-consuming
operations has resulted in unprecedented advances in biological and scientific computing …

The distance between a straight line and a straight line segment in the image space is
proposed in this paper. Based on this distance, the neighborhood of a straight line segment …

In this paper, an inverse Hough transform algorithm is proposed. This algorithm reconstructs
correctly the original image, using only the data of the Hough transform space and it is …

A fast digital Radon transform based on recursively defined digital straight lines is described,
which has the sequential complexity of N2 log N additions for an N× N image. This transform …