Abstract The main incentive of this paper is to provide an enhanced approach for 2D medical image segmentation based on the Unsupervised Grow Cut algorithm, a method that requires no prior training. This paper assumes that the reader is, to some extent, familiar with cellular automata and their function as they make up the…
Abstract Network motifs bring a great interest to many fields, because they are a perfect candidate to speed up the applied research in the understanding of complex networks dynamics. One of the biggest problems raised in the process of finding these motifs is the performance. Starting from splitting the initial network into subgraphs to…
A. Marinescu, A. Andreica, Evolving Mathematical Formulas using LINQ Expression Trees and Direct Applications to Credit Scoring, SYNASC 2018, 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, workshop, Timișoara, September 20-23, 2018, https://synasc.ro/2018/
Abstract Regression testing is the testing activity performed after changes occurred on software. Its aim is to increase confidence that achieved software adjustments have no negative impact on the already functional parts of the software. Test case prioritization is one technique that could be applied in regression testing with the aim to find faults…
Abstract This paper presents the results obtained by investigating a new hybrid topology for the GrowCut algorithm. The main purpose is to study whether choosing neighbors situated at a certain distance from a pixel (in addition to the pixels from a classical neighbourhood) can influence the results of image segmentation. Experiments were performed on…
Abstract The majority of Cellular Automata (CA) described in the literature are binary or three-state. While several abstractions are possible to generalise to more than three states, only a negligible number of multi-state CA rules exist with concrete practical applications.This paper proposes a generic rule for multi-state CA. The rule allows for any number…
Abstract Cellular Automata have been considered for a series of applications among which several image processing tasks. The goal of this paper is to investigate such existing methods, supporting the broader goal of identifying Cellular Automata rules able to automatically segment images. With the same broader goal in mind as future work, a detailed…
S. Manole, L. Popa, C. Ciortea, C. Mihaela, C. Szabo, S. Sfrângeu, L. Dioșan, A. Marinescu, Z. Bálint, Assessment of the heart with atrial fibrillation using a Magnetic Resonance Imaging (MRI) method, Romanian Congress of Radiology and Medical Imaging, e-poster, Bucharest, October 6-8, 2017, http://srim2017.medical-congresses.ro/
A. Marinescu, A Genetic Algorithm Approach for Evolving Neural Networks, Studia Universitatis Babeș-Bolyai Informatica, Volume LXI, Number 2 (December 2016), p. 126-134, http://www.cs.ubbcluj.ro/~studia-i/contents/2016-2/09-Marinescu.pdf
Abstract This paper investigates a novel update rule for multi-state Cellular Automata (CA) in the context of greyscale image segmentation. The update rule is parameterized and takes into account the features of neighbouring cells compared to the features of the current cell. We use the resulting CA to segment several real-world images. During this…