@inproceedings{60af465e0e924c7f9a24314d6fdab1c4,
title = "Detection of important features from images using heuristic approach",
abstract = "Digital systems offer high quality images, for which information is encoded with precision. Pixels represent the features of objects, therefore we can use this information to detect purposes. In this article we present our research on methodology based on a heuristic approach. A model of bio inspired algorithm was used to search between the pixels and evaluate which of them are representing important components of the objects. Therefore this methodology serves as detection model to find the features of interest. Presented research results show that the developed approach show high potential and proposed methodology makes the search efficient.",
keywords = "Feature detection, Heuristic method, Image processing",
author = "Dawid Po{\l}ap and Marcin Wo{\'z}niak",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 23rd International Conference on Information and Software Technologies, ICIST 2017 ; Conference date: 12-10-2017 Through 14-10-2017",
year = "2017",
doi = "10.1007/978-3-319-67642-5\_36",
language = "English",
isbn = "9783319676418",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "432--441",
editor = "Robertas Damasevieius and Vilma Mikasyte",
booktitle = "Information and Software Technologies - 23rd International Conference, ICIST 2017, Proceedings",
address = "Germany",
}