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Title: A new approach to detection of changes in multidimensional patterns - part II
Authors: Gałkowski, Tomasz
Krzyżak, Adam
Patora-Wysocka, Zofia
Filutowicz, Zbigniew
Wang, Lipo
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2021
Source: Gałkowski, T., Krzyżak, A., Patora-Wysocka, Z., Filutowicz, Z. & Wang, L. (2021). A new approach to detection of changes in multidimensional patterns - part II. Journal of Artificial Intelligence and Soft Computing Research, 11(3), 217-227.
Journal: Journal of Artificial Intelligence and Soft Computing Research
Abstract: In the paper we develop an algorithm based on the Parzen kernel estimate for detection of sudden changes in 3-dimensional shapes which happen along the edge curves. Such problems commonly arise in various areas of computer vision, e.g., in edge detection, bioinformatics and processing of satellite imagery. In many engineering problems abrupt change detection may help in fault protection e.g. the jump detection in functions describing the static and dynamic properties of the objects in mechanical systems. We developed an algorithm for detecting abrupt changes which is nonparametric in nature and utilizes Parzen regression estimates of multivariate functions and their derivatives. In tests we apply this method, particularly but not exclusively, to the functions of two variables.
ISSN: 2449-6499
DOI: 10.2478/jaiscr-2021-0013
Schools: School of Electrical and Electronic Engineering 
Rights: © 2021 Tomasz Gałkowski et al., published by Sciendo. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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