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 …

A computationally efficient solution to the problem of minimum error thresholding is derived
under the assumption of object and pixel grey level values being normally distributed. The …

A variety of circle detection methods which are based on variations of the Hough Transform
are investigated. The five methods considered are the standard Hough Transform, the Fast …

We introduce the Adaptive Hough Transform, AHT, as an efficient way of implementing the
Hough Transform, HT, method for the detection of 2-D shapes. The AHT uses a small …

The threshold selection method of N. Otsu (ibid., vol.SMC-9, p.62-6, 1979) is shown to break
down for a certain range of object-to-background pixel population ratios. Modifications to …

The problem of automatic threshold selection is considered. After a brief review of available
techniques, a novel method is proposed. It is based on image statistics which can be …

This paper considers the problem of detecting elliptical curves using Hough transform (HT)
methods. Storage and efficiency problems are overcome by decomposing the problem into …

This new edition of John Illingworth's popular book provides a thorough introduction to the
selection of construction methods, their planning and organization on site. Thoroughly revised …

The field of Action Recognition has seen a large increase in activity in recent years. Much of
the progress has been through incorporating ideas from single-frame object recognition and …

Within the field of action recognition, features and descriptors are often engineered to be
sparse and invariant to transformation. While sparsity makes the problem tractable, it is not …