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dc.contributor.authorThanasoontornlerk, Kittipong
dc.contributor.authorKanongchaiyos, Pizzanu
dc.contributor.editorSkala, Václav
dc.identifier.citationWSCG '2007: Short Communications Proceedings: The 15th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2007 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic, January 29 – February 1, 2007, p. 191-198.en
dc.description.abstractCritical-Point Filters (CPFs) are nonlinear filters which preserve intensity and location of each critical point in the image and reduce the resolution without any prior knowledge. Although CPFs can avoid blurred intensity and ambiguous location problem of previous linear filters, its computational cost is still expensive due to its complexity. We propose an enhancement of the CPFs algorithm for image matching using level set analysis. An image is analyzed and transformed to hierarchical level sets of pixel having same intensity. Connectivity of the level sets represents the image contrast invariant features. Between the corresponding level sets of the input images, two pixels are mapped based on their energy and bijectivity conditions. Finally, less computational time with precise mapping is shown in the experimental result.en
dc.format8 s.cs
dc.publisherVáclav Skala - UNION Agencyen
dc.relation.ispartofseriesWSCG '2007: Short Communications Proceedingsen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectmorfování obrazucs
dc.subjectměření funkcecs
dc.subjectúrovňový setcs
dc.subjectfilter kritických bodůcs
dc.titleAn Image Matching Using Critical-Point Filters and Level Set Analysisen
dc.typekonferenční příspěvekcs
dc.subject.translatedimage morphingen
dc.subject.translatedfeature measurementen
dc.subject.translatedlevel seten
dc.subject.translatedcritical-point filteren
Appears in Collections:WSCG '2007: Short Communications Proceedings

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