A practical modification of the Hough transform is proposed that improves the detection of low-contrast circular objects. The original circular Hough transform and its numerous modifications are discussed and compared in order to improve both the efficiency and computational complexity of the algorithm. Medical images are selected to verify the algorithm. In particular, the algorithm is applied...

The algorithms based on Hough Transform techniques to detect complex shapes, like circles and ellipses, require excessive computing time. In order to obtain better execution times we propose a new procedure to parallelize the detection process in a distributed memory multiprocessor. The sequential algorithm splits the detection of parameters into several stages and uses a focusing algorithm to ...

Hough transform is a common algorithm used to detecting geometry shape of objects in computer vision, lines circles and other shape objects will be detected easily. But classical Hough transformation exists many shortcomings, this paper proposed one kind of improved HT algorithm, it may greatly enhance the recognition speed and the examination precision, reduces the storage space, reduce the am...

A new algorithm for nding lines in images under a bounded er ror noise model is described The algorithm is based on a hier archical and adaptive subdivision of the space of line parameters but unlike previous adaptive or hierarchical line nders based on the Hough transform measures errors in image space and thereby guarantees that no solution satisfying the given error bounds will be lost In ad...

The problem of road sign detection and recognition is very important in many practical problems, above all for road cadastral authorities. In this sense, an automatic application able to identify the kind of a road sign starting from common imageries such as photos could be very helpful. The main difficulty is due to a possible poor graphical definition of the imagery. In this case, a valid sup...

Detecting lines in images using pyramid architecture is the main subject of this paper. The approach is based on the parallel calculation of Hough Transform. A pyramid architecture of size n is a ne-grain architecture with a mesh base of size p n p n processors each holding a single pixel of the image. The pyramid operates in an SIMD mode. Two algorithms for computing the Hough Transform are ex...