Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Alina Enescu"'
Autor:
Alina ENESCU
Publikováno v:
Studia Universitatis Babes-Bolyai: Series Informatica, Vol 65, Iss 1 (2020)
Cellular Automata (CA) are simple, easily parallelizable models that have been used extensively for various computational tasks. Such models are especially useful for image processing, as mapping automaton cells to image pixels is straightforward and
Externí odkaz:
https://doaj.org/article/ccde36d0cec740f4937815fc837d1511
Publikováno v:
Studia Universitatis Babes-Bolyai: Series Informatica, Vol 62, Iss 1 (2017)
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
Externí odkaz:
https://doaj.org/article/71a5181bc620427192c3e3e065b2f5a9
Publikováno v:
KES
Extensive research has been performed in image processing to find the best edge detector, from the gradient-based operators to evolved Cellular Automata (CA). Some of these detectors have weak points, such as disconnected edges, the incapacity of det
Publikováno v:
Studia Universitatis Babeș-Bolyai Informatica. 62:5-14
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
Publikováno v:
SYNASC
One important image processing task is the edge detection in intensity images. Some approaches were proposed based on computing the gradient of the signal, but not many approaches were proposed based on Cellular Automata (CA). In this paper, an edge
Publikováno v:
ICCP
One significant and complex image processing task that may be used as a step in various complex processes is the edge detection. The mechanism of detecting the edges is called edge detector. The scope of this paper is to propose an edge detector base
Publikováno v:
GECCO (Companion)
Cellular Automata (CA) can be successfully applied in various image processing tasks because they have a number of advantages over the traditional methods of computations: simplicity of implementation, the complexity of behaviour, parallelisation, ex
Publikováno v:
Proceedings of the Northern Lights Deep Learning Workshop; Vol. 1 (2020): Proceedings of the Northern Lights Deep Learning Workshop 2020; 6
The ability to automatically detect anomalies in brain MRI scans is of great importance in computer-aided diagnosis. Unsupervised anomaly detection methods work primarily by learning the distribution of healthy images and identifying abnormal tissues
Publikováno v:
SYNASC
This paper presents an edge detection method based on Cellular Automata where the rules are evolved to optimize the edge detection in binary images. This method divides the edge detection problem into two sub–problems: on the one hand it trains the