Summary
The 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.
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Klimaszewski, J., Kondej, M., Kawecki, M., Putz, B. (2013). Registration of Infrared and Visible Images Based on Edge Extraction and Phase Correlation Approaches. In: Choraś, R. (eds) Image Processing and Communications Challenges 4. Advances in Intelligent Systems and Computing, vol 184. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32384-3_19
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DOI: https://doi.org/10.1007/978-3-642-32384-3_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32383-6
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