A Note on the Phase Congruence Method in Image Analysis

dc.creatorForero Vargas, Manuel Guillermo
dc.creatorJacanamejoy, Carlos A.
dc.date2019-05-23T14:33:44Z
dc.date2019-05-23T14:33:44Z
dc.date2019-03-03
dc.date.accessioned2023-08-31T19:24:42Z
dc.date.available2023-08-31T19:24:42Z
dc.identifierJacanamejoy 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
dc.identifier0302-9743
dc.identifierhttps://link.springer.com/chapter/10.1007%2F978-3-030-13469-3_45
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8558061
dc.descriptionPhase 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.
dc.languageen_US
dc.publisherLecture Notes in Computer Science
dc.subjectPhase congruency
dc.subjectEdge detection
dc.subjectImage processing
dc.subjectSegmentation
dc.titleA Note on the Phase Congruence Method in Image Analysis
dc.typeArticle


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