Autowave principles for parallel image processing

V. I. Krinsky; V. N. Biktashev; I. R. Efimov

doi:10.1016/0167-2789(91)90213-S

Autowave principles for parallel image processing

V. I. Krinsky^*, V. N. Biktashev, I. R. Efimov

^*Corresponding author for this work

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

83 Scopus citations

Abstract

A highly parallel autowave method for pattern analysis and topological feature detection is presented. It is invariant against translations, rotations and scaling of the input pattern. The method yields an increase in computational speed of 3 to 6 orders of magnitude in comparison with a sequential (von Neumann) computer. The method can be realized in principle using only one chip with simple uniform connections of elements.

Original language	English (US)
Pages (from-to)	247-253
Number of pages	7
Journal	Physica D: Nonlinear Phenomena
Volume	49
Issue number	1-2
DOIs	https://doi.org/10.1016/0167-2789(91)90213-S
State	Published - Apr 1 1991
Externally published	Yes

ASJC Scopus subject areas

Statistical and Nonlinear Physics
Mathematical Physics
Condensed Matter Physics
Applied Mathematics

Access to Document

10.1016/0167-2789(91)90213-S

Cite this

@article{fba4d140dcff4ef6b5b2d16e2d7d3038,

title = "Autowave principles for parallel image processing",

abstract = "A highly parallel autowave method for pattern analysis and topological feature detection is presented. It is invariant against translations, rotations and scaling of the input pattern. The method yields an increase in computational speed of 3 to 6 orders of magnitude in comparison with a sequential (von Neumann) computer. The method can be realized in principle using only one chip with simple uniform connections of elements.",

author = "Krinsky, {V. I.} and Biktashev, {V. N.} and Efimov, {I. R.}",

year = "1991",

month = apr,

day = "1",

doi = "10.1016/0167-2789(91)90213-S",

language = "English (US)",

volume = "49",

pages = "247--253",

journal = "Physica D: Nonlinear Phenomena",

issn = "0167-2789",

publisher = "Elsevier",

number = "1-2",

}

TY - JOUR

T1 - Autowave principles for parallel image processing

AU - Krinsky, V. I.

AU - Biktashev, V. N.

AU - Efimov, I. R.

PY - 1991/4/1

Y1 - 1991/4/1

N2 - A highly parallel autowave method for pattern analysis and topological feature detection is presented. It is invariant against translations, rotations and scaling of the input pattern. The method yields an increase in computational speed of 3 to 6 orders of magnitude in comparison with a sequential (von Neumann) computer. The method can be realized in principle using only one chip with simple uniform connections of elements.

AB - A highly parallel autowave method for pattern analysis and topological feature detection is presented. It is invariant against translations, rotations and scaling of the input pattern. The method yields an increase in computational speed of 3 to 6 orders of magnitude in comparison with a sequential (von Neumann) computer. The method can be realized in principle using only one chip with simple uniform connections of elements.

UR - http://www.scopus.com/inward/record.url?scp=0000832513&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0000832513&partnerID=8YFLogxK

U2 - 10.1016/0167-2789(91)90213-S

DO - 10.1016/0167-2789(91)90213-S

M3 - Article

AN - SCOPUS:0000832513

VL - 49

SP - 247

EP - 253

JO - Physica D: Nonlinear Phenomena

JF - Physica D: Nonlinear Phenomena

SN - 0167-2789

IS - 1-2

ER -

Autowave principles for parallel image processing

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this