Adaptive circular object detection
Christopher Neil Young, Ju Jia Zou · 2008
In this paper a robust and adaptive method of circular object detection is proposed. The proposed method aims to limit the need for parameter adjustment when applied to a wide range of different images, by implementing a hybrid algorithm using the Circular Hough Transform for region segmentation, and a refined localised version of the Randomized Circle Detection algorithm to perform circular object detection. As a result the overall speed and accuracy are improved when compared to other circle detection algorithms.