In the paper, a hybrid image processing approach – the adaptive morphological Hough transform AMHT – is developed and applied to detect straight line tracks in the volumetrical images produced by particle collisions in the ATLAS detector. The approach combines components of the adaptive Hough transform (i.e. the resolution refinement of the parameter space) and the morphological Hough transform...

Image recognition is one of the most important field in image processing that in recent decades had much attention .Due to expansion of related fields with image processing and various application of this science in machine vision, military science, geography, aerospace and artificial intelligence and lots of other aspects, out stand the importance of this subject.One of the most important aspe...

Suppose you are given a number of points in a plane and want to have those lines that each contain a large number of the given points. The Hough transform is a computerized procedure for that task. It was invented by Paul Hough (1962), originally to find the trajectories of subatomic particles in a bubble chamber, and it has even been patented. Nowadays, adaptations of the Hough transform are u...

This paper proposes a new algorithm for 2-D object detection called Randomized Generalized Hough Transform (RGHT). It combines the Generalized Hough Transform (GHT) with the Randomized Hough Transform (RHT). Our algorithm can detect arbitrary objects of various scales and orientations in graylevel images. We also demonstrate RGHT’s advantage of high speed, low storage requirement, high accuracy...

In optical character recognition and document image analysis skew is introduced in coming documented image. Which degrade the performance of OCR and image analysis system so to detection and correction of skew angle is important step of preprocessing of document analysis. Many methods have been proposed by researchers for the detection of skew in binary image documents. The majority of them are...

Analysis of CT datasets is commonly time consuming because of the required manual interaction. We present a novel and fast automatic initialization algorithm to detect the carotid arteries providing a fully automated approach of the segmentation and centerline detection. First, the volume of interest (VOI) is estimated using a shoulder landmark. The carotid arteries are subsequently detected in...

Detecting documents with a certain stamp instance is an effective and reliable way to retrieve documents associated with a specific source. However, this unique problem has essentially remained unaddressed. In this paper, we present a novel stamp detection framework based on parameter estimation of connected edge features. Using robust basic-shape detectors, the approach is effective for stamps...

We present an efficient Hough transform for automatic detection of cylinders in point clouds. As cylinders are one of the most frequently used primitives for industrial design, automatic and robust methods for their detection and fitting are essential for reverse engineering from point clouds. The current methods employ automatic segmentation followed by geometric fitting, which requires a lot ...

Hough-like methods (Implicite Shape Model, Hough forest, 9 ...) have been successfully applied in multiple computer vision fields like 10 object detection, tracking, skeleton extraction or human action detection. 11 However, these methods are known to generate false positives. To handle 12 this issue, several works like Max-Margin Hough Transform (MMHT) or 13 Implicit Shape Kernel (ISK) have re...