Registration of Infrared and Visible Images Based on Edge Extraction and Phase Correlation Approaches
Jan Klimaszewski , Marcin Kondej , Mariusz Kawecki , Barbara Putz
AbstractThe paper presents test results of several edge detectors intended to be used for multimodal image registration. It was found that application of edge detectors before running phase correlation algorithms allows achievement of good quality of registration and assure simultaneously high performance of registration necessary particularly in real time applications. Canny edge detector implemented in OpenCV and its simplification, Harris edge detector and two types of morphological edge detectors: basic and extended have been tested. It has been shown that OpenCV implementation of Canny algorithm gives best translation coefficients for IR and TV images registration. The results show that edge extraction with subsequent phase correlation is a very promising for multisensor image registration.
|Publication size in sheets||0.5|
|Book||Choraś Ryszard S. (eds.): Image Processing and Communications Challenges 4, Advances in Intelligent Systems and Computing, vol. 184, part 1, 2013, Heidelberg New York Dordrecht London, Springer-Verlag, ISBN 978-3-642-32383-6, 311 p., DOI:10.1007/978-3-642-32384-3|
|Keywords in English||Artificial Intelligence (incl. Robotics), Communications Engineering, Networks, Computational Intelligence, Image Processing and Computer Vision, Signal, Image and Speech Processing|
|Score||= 5.0, 07-01-2020, MonographChapterAuthor|
|Publication indicators||= 8; = 15.0|
|Citation count*||15 (2020-09-15)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.