Shape Analysis and the Classification of Objects
Quantification of shape remains an area of active study in the field of image analysis and machine vision. We present a comparative survey of three approaches to shape measurement: classical dimensionless ratios, harmonic analysis, and invariant moments, showing their suitability for classification of objects and other statistical analyses, including quantitative structure-property relationships. We show that for topologically simple shapes and well controlled imaging conditions, all three methods can provide robust classification of objects.
Keywordsshape classification shape descriptors invariant moments harmonic analysis machine vision
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