Bispectrum-Based Feature of 2D and 3D Images Invariant to Similarity Transformations

I
ICPR
2000
15th International Conference on Pattern Recognition (ICPR'00) - Volume 2
Abstract - Bispectrum-Based Feature of 2D and 3D Images Invariant to Similarity Transformations

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15th International Conference on Pattern Recognition (ICPR'00) - Volume 2

Barcelona, Spain

September 03-September 08

ISBN: 0-7695-0750-6

	ASCII Text	x
	Yo Horikawa, "Bispectrum-Based Feature of 2D and 3D Images Invariant to Similarity Transformations," Pattern Recognition, International Conference on, vol. 2, pp. 2511, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 2, 2000.

	BibTex	x
	@article{ 10.1109/ICPR.2000.906124, author = {Yo Horikawa}, title = {Bispectrum-Based Feature of 2D and 3D Images Invariant to Similarity Transformations}, journal ={Pattern Recognition, International Conference on}, volume = {2}, year = {2000}, isbn = {0-7695-0750-6}, pages = {2511}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.906124}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - Bispectrum-Based Feature of 2D and 3D Images Invariant to Similarity Transformations SN - 0-7695-0750-6 SP EP A1 - Yo Horikawa, PY - 2000 VL - 2 JA - Pattern Recognition, International Conference on ER -

Yo Horikawa, Kagawa University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.906124

A novel feature of 2D and 3D images invariant to similarity transformations is derived from the bispectrum. The invariant feature represents the amount of the triplets of the sinusoids with the frequency components consisting of the apexes of similar triangles. An effective method of calculating the invariant feature is also presented. Computer simulation on sinusoidal patterns of different phases and texture images shows that the invariant feature is applicable to the recognition of images suffering from shift and rotation in arbitrary degree, scaling up to double and additive noise.

Citation:

Yo Horikawa, "Bispectrum-Based Feature of 2D and 3D Images Invariant to Similarity Transformations," icpr, vol. 2, pp.2511, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 2, 2000

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