@inbook{898b0564002c47b29c6cd88cef418e8b,
title = "The method of developing the invariant functions vector for objects recognition from a given objects set",
abstract = "The goal of the following paper was to develop the methodology of recognising a given object out of other objects in the grey scale images. We have presented the method which utilises moment invariants for creating model vectors which define the features of the recognised object. Moreover, we have discussed the rules of creating the model vectors which guarantee differentiation of the given object classes. We have put forward the method of recognising an object in the image. This method is based on searching the points in the image for which there is minimal distance between the model vector and current vector-calculated for each point of the image. On top of that, this study presents the examples of the object recognising by means of the developed method.",
keywords = "Minimum distance principle, Moment invariants, Object recognition, Pattern vector",
author = "Zygmunt Ku{\'s} and Aleksander Nawrat",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.",
year = "2016",
doi = "10.1007/978-3-319-21118-3\_3",
language = "English",
series = "Studies in Systems, Decision and Control",
publisher = "Springer International Publishing",
pages = "33--46",
booktitle = "Studies in Systems, Decision and Control",
address = "Switzerland",
}