title: One-dimensional voting scheme for circle and arc detection.
abstract: Circle detection is an important issue that has not been perfectly solved in automated image analysis to date. It is traditionally carried out via pixel-based 3D voting algorithms, involving tremendous computation and requiring huge storage space with questionable accuracy. In this report, a novel edge-section-based 1D voting algorithm is developed in circle detection to improve the detection rate and precision. Based on experiments with simulated image data and a ground-tested standard dataset, the novel scheme significantly outperformed all previous state-of-the-art schemes in detection rate and precision, and was comparable to the state of the art in processing speed.
authors.forename: Ke
authors.initials: K
authors.lastname: Chen
authors.forename: Jianping
authors.initials: J
authors.lastname: Wu