An Image Matching Using Critical-Point Filters and Level Set Analysis
Date issued
2007
Journal Title
Journal ISSN
Volume Title
Publisher
Václav Skala - UNION Agency
Abstract
Critical-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.
Description
Subject(s)
morfování obrazu, měření funkce, úrovňový set, filter kritických bodů
Citation
WSCG '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.