Computing the Hough transform on a scan line array processor (image processing)

Abstract

A parallel algorithm for a line-finding Hough transform that runs on a linearly connected, SIMD (single-instruction, multiple-data-stream) vector of processors is described. The authors show that a high-precision transform, usually considered to be an expensive global operation, can be performed efficiently, in two to three times real time, with only local, communication on a long vector. The algorithm also illustrates a decomposition principle that has wide application in algorithm design for large linear arrays. A review of straight-line Hough transform implementations is also presented.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>