2002Unpublished venueRequires access

Measuring bilateral symmetry in digital images

D. O'Mara, Robyn Owens

Open publisher page 67 citations

Abstract

An important example of bilateral symmetry in nature is the approximate bilateral symmetry exhibited by humans. Detecting and measuring bilateral symmetry in medical images should provide benefits in a clinical environment. This paper presents a method for detecting the dominant plane of bilateral symmetry in an image of arbitrary dimension and subsequently measuring the degree of bilateral symmetry in the image. By adapting the work of others, we provide a unique solution to the problem by using a simple representation of the data and a more sensitive measure of symmetry.

About this research paper

What this paper is about

An important example of bilateral symmetry in nature is the approximate bilateral symmetry exhibited by humans. Detecting and measuring bilateral symmetry in medical images should provide benefits in a clinical environment. This paper presents a method for detecting the dominant plane of bilateral symmetry in an image of arbitrary dimension and subsequently measuring the degree of bilateral symmetry in the image. By adapting the work of others, we provide a unique solution to the problem by using a simple representation of the data and a more sensitive measure of symmetry.

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OpenAlex reports 67 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

An important example of bilateral symmetry in nature is the approximate bilateral symmetry exhibited by humans. Detecting and measuring bilateral symmetry in medical images should provide benefits in a clinical environment. This paper presents a method for detecting the dominant plane of bilateral symmetry in an image of arbitrary dimension and subsequently measuring the degree of bilateral symmetry in the image. By adapting the work of others, we provide a unique solution to the problem by using a simple representation of the data and a more sensitive measure of symmetry.

Key concepts: Bilateral symmetry, Symmetry (geometry), Dimension (graph theory), Plane symmetry, Reflection symmetry, Rotational symmetry, Representation (politics), Computer science

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