Skeleton Filling Rate for Shape Recognition

As an increasing number of digital images are generated, a demand for an efficient and effective image retrieval mechanisms grows. In this work, we present a new skeleton-based shape retrieval algorithm, which starts by drawing circles of increasing radius around skeleton points. Since each skeleton...

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Bibliographic Details
Main Authors: Sirin, Yahya, Demirci, M. Fatih
Format: Conference Proceeding
Language:English
Subjects:
Computer vision
Earth
Earth Mover's Distance
Pattern recognition
Robustness
Shape
shape recognition
skeletal representation
Skeleton
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Description
Summary:As an increasing number of digital images are generated, a demand for an efficient and effective image retrieval mechanisms grows. In this work, we present a new skeleton-based shape retrieval algorithm, which starts by drawing circles of increasing radius around skeleton points. Since each skeleton corresponds to the center of a maximally inscribed circle, this process results in circles that are partially inside the shape. Computing the ratio between pixels that lie within the shape and the total number of pixels allows us to distinguish shapes with similar skeletons. Experimental evaluation of the proposed approach including a comparison with the previous techniques demonstrates both effectiveness and robustness of our algorithm for shape retrieval experiments.
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2014.686