Title :
How to tell right from left [chirality for 2-D binary shapes]
Author :
Hel-Or, Yaskov ; Peleg, Shmuel ; Zabrodsky, Hagit
Author_Institution :
Dept. of Comput. Sci., Hebrew Univ. of Jerusalem, Israel
Abstract :
The authors study the notion of chirality for two-dimensional binary shapes, and introduce measures to test whether a shape is symmetric, and if not whether it is left-handed or right-handed. The measures are based on boundary analysis, and perform well even when digital images of left-handed shapes differ from the mirror images of right-handed shapes. Such situations may occur due to natural variations and digitization errors. The measures can also successfully treat partially occluded shapes, and provide indications on the change of chirality as resolution changes
Keywords :
pattern recognition; boundary analysis; chirality; digitization errors; left-handed shapes; partially occluded shapes; pattern recognition; right-handed shapes; two-dimensional binary shapes; Chemicals; Computer science; Crystals; Image analysis; Mirrors; Performance analysis; Performance evaluation; Shape measurement; Sugar; Testing;
Conference_Titel :
Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
Conference_Location :
Ann Arbor, MI
Print_ISBN :
0-8186-0862-5
DOI :
10.1109/CVPR.1988.196253
