Object detection and recognition are important problems in computer vision. Since these
problems are meta-heuristic, despite a lot of research, practically usable, intelligent, real …

The automatic segmentation of blood cells for detecting hematological disorders is a crucial
job. It has a vital role in diagnosis, treatment planning, and output evaluation. The existing …

Ellipse fitting, an essential component in pupil or iris tracking based video oculography, is
performed on previously segmented eye parts generated using various computer vision …

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 …

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 …

Identifying liver and tumour regions from medical images using fully automated computer-
aided software is a challenging task for the diagnosis of liver disease. In this paper, a novel …

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 …

Human gaze behavior is not the only important aspect about eye tracking. The eyelids
reveal additional important information; such as fatigue as well as the pupil size holds …

Head circumference (HC) is one of the most important biometrics in assessing fetal growth
during prenatal ultrasound examinations. However, the manual measurement of this …

Detecting elliptical objects from an image is a central task in robot navigation and industrial
diagnosis, where the detection time is always a critical issue. Existing methods are hardly …