The paper proposes a segmentation and classification technique for fracture detection in X-ray images. This novel rotation-invariant method introduces the concept of local entropy for de-noising and removing tissue from the analysed X-ray images, followed by an improved procedure for image segmentation and the detection of regions of interest. The proposed local Shannon entropy was […]
Laboratory for Information Processing and Pattern Recognition
Invited talk at the Institute of Informatics, University of Szeged, Hungary
Invited talk on “Data-Driven Adaptive Filtering with Applications” by Assis. Prof. Jonatan Lerga, PhD, at the Institute of Informatics, University of Szeged, Hungary, was held on the 20th of March, 2019.
Support Vector Machine State Estimation
The power system state estimator based on the support vector machine (SVM) and the weighted least squares (WLS) method is presented in the paper. The WLS provides state estimations necessary for creating SVM model which is then used for state estimation. The developed algorithm was tested on the IEEE systems, and the performance indicators were […]
Development of machine-learning-based techniques for illness and injury detection in medical images
Clinical decision-support systems are often built by manually gathering, formalising and implementing specialist knowledge. Therefore, they are limited by existing human knowledge concerning modelling clinical conditions, diagnosis and therapy, and can be inaccurate because of variations and complexity inherent to medical data. In order to circumvent these limitations, following an obvious growth of publicly available […]
QR Code Alternative – Increased Storage Capacity for Offline Transfer
Research on QR code alternatives with goal of increasing code storage capacity. The project is conducted at the Faculty of Engineering, University of Rijeka (www.riteh.uniri.hr).
Invited lecture at the Johannes Kepler University of Linz, Austria
Invited lecture on “Computer-Aided Signal Analysis: Methods and Applications” by Assis. Prof. Jonatan Lerga, PhD, at the Johannes Kepler University (JKU) of Linz, Institute of Signal Processing, Austria, was held on the 28th of February and 1st of March, 2019.
Computer-Aided Digital Analysis And Classification of Signals
Various natural phenomena are described by stochastic signals, the analysis of which requires utilizing advanced, computationally demanding algorithms (such as simultaneous processing of signals in time and frequency domain using quadratic time-frequency distributions). Besides being stochastic, these signals are usually non-stationary and multi-componential. Hence, to process them, it is necessary to develop adaptive algorithms for […]
Foundation of the University of Rijeka Award in 2018 for J. Lerga and N. Krvavica
Assist. Professor Jonatan Lerga received an annual award from the Foundation of the University of Rijeka in 2018 in the category of scientists and Nino Krvavica in the category of young scientists (both in the field of Engineering and Bioengineering sciences).
Adaptive State Estimator With Intersection of Confidence Intervals Based Preprocessing
The paper presents an effective solution for improving power system state estimation performance by applying the intersection of confidence intervals (ICI) algorithm, a state-of-the-art adaptive signal processing technique used in signal denoising. Since many power utilities worldwide still run state estimators based on the weighed least squares (WLS) algorithm using supervisory control and data acquisition […]
International Cooperation in Computer Science
CEEPUS network “International Cooperation in Computer Science”, CIII-HU-0019-14-1819, (2018-ongoing) The project is conducted at the Faculty of Engineering, University of Rijeka (www.riteh.uniri.hr).
