Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12313/929
Title: A Note on the Phase Congruence Method in Image Analysis
Authors: Forero Vargas, Manuel Guillermo
Jacanamejoy, Carlos A.
Keywords: Phase congruency
Edge detection
Image processing
Segmentation
Issue Date: 3-Mar-2019
Publisher: Lecture Notes in Computer Science
Citation: Jacanamejoy C.A., Forero M.G. (2019) A Note on the Phase Congruence Method in Image Analysis. In: Vera-Rodriguez R., Fierrez J., Morales A. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2018. Lecture Notes in Computer Science, vol 11401. Springer, Cham
Abstract: Phase congruence technique developed by Kovesi allows the detection of edges in images by analyzing the phases of their frequency components. A limitation of this technique is that it does not allow the detection of closely spaced edges that have different intensities. However, this situation occurs frequently in images, which therefore limits the use of this method. This study aims to propose a method that can overcome this limitation. Unlike the original technique, the proposed study uses a high degree of overlap between different frequency components to allow the detection of contiguous edges of low intensity. To avoid the problems that arise from high overlap, we modify the sensitivity of the phase congruence, allowing us to detect weak edges while discarding the noise associated with the proposed changes. We present our results and compare them with the results obtained using the existing technique.
URI: https://link.springer.com/chapter/10.1007%2F978-3-030-13469-3_45
ISSN: 0302-9743
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