Paper
1 January 1990 Symmetry detection of 2-D figures
Gongzhu Hu
Author Affiliations +
Abstract
A method for symmetry detection of 2-D figures is presented. This approach uses eigenvector fitting to find the approximate directions of the axes of symmetry. A normalized error of distance-difference is used as the validity measure of candidate lines for symmetry axes. The complexity of the search space of lines of symmetry is a constant, while the complexity of the algorithm is O(n) where n is the number of pixels on the boundary of the figure.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gongzhu Hu "Symmetry detection of 2-D figures", Proc. SPIE 1293, Applications of Artificial Intelligence VIII, (1 January 1990); https://doi.org/10.1117/12.21100
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Image segmentation

Artificial intelligence

Algorithm development

Machine vision

Visualization

Detection and tracking algorithms

Error analysis

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