Space robots play a significant role in on‐orbit servicing (OOS) missions, such as inspecting,
capturing, refueling, and repairing satellites, assembling and maintaining large space …

Over the years many ellipse detection algorithms spring up and are studied broadly, while
the critical issue of detecting ellipses accurately and efficiently in real-world images remains …

The author studies the performance of four mapping algorithms. The four algorithms include
two naive ones: opportunistic load balancing (OLB), and limited best assignment (LBA), and …

Abstract The International Atomic Energy Agency (IAEA) has been encouraging the use of
passive cooling systems in new designs of nuclear power plants. Next nuclear reactor …

Several papers addressed ellipse detection as a first step for several computer vision
applications, but most of the proposed solutions are too slow to be applied in real time on …

Fast and accurate ellipse detection is critical in certain computer vision tasks. In this paper,
we propose an arc adjacency matrix-based ellipse detection (AAMED) method to fulfill this …

An iterative randomized Hough transform (IRHT) is developed for detection of incomplete
ellipses in images with strong noise. The IRHT iteratively applies the randomized Hough …

In this paper, we propose a novel ellipse detection method for real images. The proposed
method uses the information of edge curvature and their convexity in relation to other edge …

Decision-making systems based on images have increasingly become essential nowadays
mostly in the medical field. Indeed, the image has become one of the most fundamental tools …

This paper presents a hierarchical approach for fast and robust ellipse extraction from
images. At the lowest level, the image is described as a set of edge pixels, from which line …