How to tell right from left (chirality for 2-D binary shapes)

Y. Hel-Or; S. Peleg; H. Zabrodsky

doi:10.1109/CVPR.1988.196253

How to tell right from left (chirality for 2-D binary shapes)

Y. Hel-Or
, S. Peleg
, H. Zabrodsky

Department of Nursing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings CVPR '88
Subtitle of host publication	The Computer Society Conference on Computer Vision and Pattern Recognition
Pages	304-309
Number of pages	6
DOIs	https://doi.org/10.1109/CVPR.1988.196253
State	Published - 1988

Keywords

Mirrors
Shape measurement
Sugar
Computer science
Crystals
Chemicals
Testing
Image analysis
Performance analysis
Performance evaluation

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10.1109/CVPR.1988.196253

Cite this

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title = "How to tell right from left (chirality for 2-D binary shapes)",

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 = "Mirrors, Shape measurement, Sugar, Computer science, Crystals, Chemicals, Testing, Image analysis, Performance analysis, Performance evaluation",

author = "Y. Hel-Or and S. Peleg and H. Zabrodsky",

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language = "English",

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AU - Hel-Or, Y.

AU - Peleg, S.

AU - Zabrodsky, H.

PY - 1988

Y1 - 1988

N2 - 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.

AB - 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.

KW - Mirrors

KW - Shape measurement

KW - Sugar

KW - Computer science

KW - Crystals

KW - Chemicals

KW - Testing

KW - Image analysis

KW - Performance analysis

KW - Performance evaluation

U2 - 10.1109/CVPR.1988.196253

DO - 10.1109/CVPR.1988.196253

M3 - Conference contribution

SP - 304

EP - 309

BT - Proceedings CVPR '88

ER -

How to tell right from left (chirality for 2-D binary shapes)

Abstract

Keywords

Access to Document

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Cite this