2026-05-05T11:27:54.033Z http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai

ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:2:10081 2024-07-01T14:25:43Z 2

Detection of Nanoparticles in Images Supported by Hybrid Method of Edge Detection 2023 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/10081 https://openurl.ebsco.com/EPDB%3Agcd%3A11%3A18899755/detailv2?sid=ebsco%3Aplink%3Ascholar&id=ebsco%3Agcd%3A174741728&crl=c П. Бишевац Р. Ивковић П. Спалевић М. Симић М. Глигоријевић In recent years significant advancements have been made in the field of edge detection in digital images through the integration of various techniques, resulting in the emergence of a novel methodology known as multimodal edge detection. This research paper presents an innovative solution for the identification and localisation of nanoparticles in digital images by leveraging different aspects of digital image processing. The effectiveness of the proposed approach is evaluated by analysing a large number of samples using spatial and amplitude resolution frameworks. Matlab software is used to provide the necessary mathematical support for this study. The results demonstrate notable advancements in the components of edge detection, and the proposed method consistently performs well across different detection scenarios. The findings of this investigation have potential implications for the advancement of edge detection techniques in various application domains. article 1905-7873 Maejo Int. J. Sci. Technol.