6533b833fe1ef96bd129b8b6
RESEARCH PRODUCT
Iterative Symmetry Detection: Shrinking vs. Decimating Patterns
Vito Di GesùBertrand Zavidoviquesubject
Decimationbusiness.industryGRASPComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMathematical morphologyErosion (morphology)Computer Science ApplicationsTheoretical Computer ScienceTransformation (function)Operator (computer programming)Computational Theory and MathematicsArtificial IntelligenceComputer visionArtificial intelligencePyramid (image processing)Symmetry (geometry)businessAlgorithmSoftwareMathematicsdescription
This paper introduces a new mechanism that consists of applying a symmetry operator on an iteratively transformed version of the input image. The nature of the transformation characterizes the operator. Here, we consider the Object Symmetry Transform combined with the morphological operator erosion and the pyramid decimation respectively. The derived operators have been applied on both binary and gray levels images, comparing their ability to grasp the internal structure of a digital object. We present some experiments to evaluate their performances and check them for result quality versus computing complexity.
year | journal | country | edition | language |
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2005-09-01 |