A new approach to detection of changes in multidimensional patterns - part II

• Main Authors: Gałkowski, Tomasz, Krzyżak, Adam, Patora-Wysocka, Zofia, Filutowicz, Zbigniew, Wang, Lipo
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Edge Curve Detection; Regression Function
• Online Access: https://hdl.handle.net/10356/154958
• Institution: Nanyang Technological University

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.