A mirror reflection and aspect ratio invariant approach to object recognition using Fourier descriptor

Maruti Agarwal; Vikram Venkatraghavan; Chandan Chakraborty; Ajoy K. Ray

doi:https://doi.org/10.1016/j.asoc.2011.01.020

A mirror reflection and aspect ratio invariant approach to object recognition using Fourier descriptor

Maruti Agarwal, Vikram Venkatraghavan, Chandan Chakraborty, Ajoy K. Ray

Research output: Contribution to journal › Article › Academic › peer-review

3 Citations (Scopus)

Abstract

Most of the shape recognition measures are rotation, translation and scale (RST) invariant. However, when the shape aspect ratio is changed or the mirror reflection of the object is considered for retrieval, some of these measures are not effectively useful. In consideration of the aforesaid issues, a Fourier descriptor based 'aspect ratio' and 'mirror reflection' invariant shape matching algorithm is presented here. This algorithm is also RST invariant.

Original language	English
Pages (from-to)	3910-3915
Number of pages	6
Journal	Applied Soft Computing Journal
Volume	11
Issue number	5
DOIs	https://doi.org/10.1016/j.asoc.2011.01.020
Publication status	Published - Jul 2011
Externally published	Yes

Keywords

Aspect ratio
Fourier descriptor
Mirror reflection
RST invariant
Shape retrieval

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https://doi.org/10.1016/j.asoc.2011.01.020

Cite this

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AB - Most of the shape recognition measures are rotation, translation and scale (RST) invariant. However, when the shape aspect ratio is changed or the mirror reflection of the object is considered for retrieval, some of these measures are not effectively useful. In consideration of the aforesaid issues, a Fourier descriptor based 'aspect ratio' and 'mirror reflection' invariant shape matching algorithm is presented here. This algorithm is also RST invariant.

KW - Aspect ratio

KW - Fourier descriptor

KW - Mirror reflection

KW - RST invariant

KW - Shape retrieval

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A mirror reflection and aspect ratio invariant approach to object recognition using Fourier descriptor

Abstract

Keywords

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