S. Shoari

TL;DR: A new transformation is defined that converts circles in an image to families of straight lines, allowing the problem of detecting circles in images on multiprocessors to be converted to line detection which can be solved by any line detection algorithm.

TL;DR: Based on the moment principle, the proposed method can be employed to determine the five parameters of an elliptical shape in a given image, including the coordinates of the center of the ellipse, the length of minor and major axes, and the rotation angle of the major axis.

TL;DR: Detecting lines in images using pyramid architecture is the main subject of this paper, and the approach is based on the parallel calculation of Hough transform.

TL;DR: In this article, a block-detection and three-dimensional moment algorithms are applied to determine the presence and orientation of cylinders in a 3D image constructed by infrared radiometry.

TL;DR: Two parallel algorithms for computing fast Fourier transform (FFT) on a new type of architecture called the n-star-connected, cycles ( n -SCC) have been considered and these algorithms are based on the Cooley-Tukey FFT algorithm and combine the principles of parallelism and pipelining.