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...

PURPOSE Prostate adenocarcinoma is the most common noncutaneous malignancy in American men with over 200,000 new cases diagnosed each year. Prostate interventional therapy, such as cryotherapy and brachytherapy, is an effective treatment for prostate cancer. Its success relies on the correct needle implant position. This paper proposes a robust and efficient needle segmentation method, which ac...

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...