The Hough transform is a popular method for detecting complex forms in digital images. However, the technique is not very robust since several parameters that determine the scope of the detection results, such as quantization thresholds and intervals, must "rst be de"ned. In the present paper, we propose to enhance shape detection with the Hough transform through fuzzy analysis. One chief drawb...

In order to solve the problems of Image pretreatment and the extraction of navigation line on agricultural machinery visual navigation, a route navigating system based on improved HOUGH transform is brought forward. First, extract the set of points from the original image based on the threshold segmentation and edge detection. Second, an improved HOUGH transform algorithm is used on detecting t...

The authors look at the benefits of exploiting gradient information to enhance the progressive probabilistic Hough transform (PPHT). It is shown that using the angle information in controlling the voting process and in assigning pixels to a line, the PPHT performance can be significantly improved. The performance gains are assessed in terms of repeatability of results, a measure that has direct...

A variation on the Hough transform, the special normal/angle Hough transform , (RsHT) is described detailing its characteristics and advantages and suitablity for a parallel implementation. The transputer is introduced and the application of the RsHT on two popular types of transputer networks, a control-driven array and a demand-driven farm of transputers is described. The methods employed for...

We present an approach for automatic bone age classification from hand x-ray images using the Discriminative Generalized Hough Transform (DGHT). To this end, a region, characteristic for the bone age (e.g. an epiphyseal plate), is localized and subsequently classified to determine the corresponding age. Both steps are realized using the DGHT, whereat the difference of the approaches lies within...

FIHT2 algorithm defined by p = x . cos 0 + y .sin 0 + (a/(21()) . x . s ine at 0 5 6 < a / 2 and at p = x . cose + y . sin 0 + (aJ(2It')) . y . cos 0 at a / 2 5 0 < a is a Hough transform which requires nothing of the trigonometric and functional operations to generate the Hough distributions. It is demonstrated in this paper that the FIHT2 is a complete alternative of the usual Hough transform...

T he Hough transform is a useful technique in the detection of straight lines and curves in an image. Due to the mathematical similarity of the Hough transform and the forward Radon transform, the Hough transform can be computed using the Radon transform which, in turn, can be evaluated using the central slice theorem. This involves a two-dimensional Fourier transform, an x-y to rmapping and a ...

In this paper we propose the use of the Randomized Hough Transform algorithm for the determination of the proportions of pure classes present in sets of mixed pixels, for large datasets (for which the deterministic Hough is prohibitively slow) and in the presence of outliers (ie in cases that the classical Least Square Error method cannot cope). We demonstrate our results both with simulated an...

In this work we propose a new method to detect arbitrary planar shapes from a previous template and calculate the parameters that define the transformations between the new image and the template. The image contains a perspective projection of the template subjected to two angles transformation, called tilt and pan, a displacement a rotation and a scaling. The method uncouples parameter calcula...

This paper addresses the localization of anatomical structures in medical images by a Generalized Hough Transform (GHT). As localization is often a pre-requisite for subsequent model-based segmentation, it is important to assess whether or not the GHT was able to locate the desired object. The GHT by its construction does not make this distinction. We present an approach to detect incorrect GHT...