For several years, parts of the content of this textbook have been used in undergraduate
courses in the Department of Mathematics and in the Faculty of Economics at the University …

This paper presents a new method for detecting ellipses in images, which has many
applications in pattern recognition and robotic tasks. Previous approaches typically use …

In this paper, we propose a modification of the well-known DBSCAN algorithm, which
recognizes clusters with various data densities in a given set of data points A={a^ i ∈ R^ n …

Existing edge detection methods are based on fixed logics, which are not intelligent enough
to distinguish useful edges and useless/noise edges. Recent ellipse detection methods …

In this paper, we consider the multiple ellipse detection problem based on data points
coming from a number of ellipses in the plane not known in advance. In so doing, data …

Robotic manipulation employs the object detection in images to create a scene awareness
and locate an object's pose. In dynamic scenarios, fast multiobject detection and tracking are …

The ability to segment and count of touching hybrid rice grains can enable the automatic
evaluation of seeding performance. In this paper, an algorithm that separates and counts …

Accurate ellipse detection in image streams at real-time execution is an open challenge. We
present a novel fast and robust ellipse detection method. The method adopts arcs selection …

Functional assessment of stem cell‐mediated endogenous repair relies on animal studies.
Here an in vitro assay is described that recapitulates important early steps of the in vivo …

Sažetak Hausdorff distance can be used in various areas, where the problems of shape
matching and comparison appear. We look at the Hausdorff distance between two …