Autofocus and fusion using nonlinear correlation

Alma Rocío Cabazos-Marín; Josué Álvarez-Borrego; Ángel Coronel-Beltrán

doi:10.1063/1.4897702

Autofocus and fusion using nonlinear correlation

Alma Rocío Cabazos-Marín, Josué Álvarez-Borrego^*, Ángel Coronel-Beltrán

^*Corresponding author for this work

Departamento de Investigación en Física

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

Abstract

In this work a new algorithm is proposed for auto focusing and images fusion captured by microscope's CCD. The proposed algorithm for auto focusing implements the spiral scanning of each image in the stack f(x, y)_w to define the V_w vector. The spectrum of the vector FV_w is calculated by fast Fourier transform. The best in-focus image is determined by a focus measure that is obtained by the FV₁ nonlinear correlation vector, of the reference image, with each other FV_W images in the stack. In addition, fusion is performed with a subset of selected images f(x, y)_SBF like the images with best focus measurement. Fusion creates a new improved image f(x, y)_F with the selection of pixels of higher intensity.

Original language	English
Title of host publication	International Conference of Computational Methods in Sciences and Engineering 2014, ICCMSE 2014
Editors	Theodore E. Simos, Theodore E. Simos, Theodore E. Simos, Theodore E. Simos, Theodore E. Simos, Zacharoula Kalogiratou, Theodore Monovasilis
Publisher	American Institute of Physics Inc.
Pages	147-150
Number of pages	4
ISBN (Electronic)	9780735412552
DOIs	https://doi.org/10.1063/1.4897702
State	Published - 6 Oct 2014
Event	International Conference of Computational Methods in Sciences and Engineering 2014, ICCMSE 2014 - Athens, Greece Duration: 4 Apr 2014 → 7 Apr 2014

Publication series

Name	AIP Conference Proceedings
Volume	1618
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	International Conference of Computational Methods in Sciences and Engineering 2014, ICCMSE 2014
Country/Territory	Greece
City	Athens
Period	4/04/14 → 7/04/14

Bibliographical note

Publisher Copyright:
© 2014 AIP Publishing LLC.

Keywords

autofocus
fusion
nonlinear correlation
parabolic filter
spiral scanning

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10.1063/1.4897702

Cite this

Cabazos-Marín, A. R., Álvarez-Borrego, J., & Coronel-Beltrán, Á. (2014). Autofocus and fusion using nonlinear correlation. In T. E. Simos, T. E. Simos, T. E. Simos, T. E. Simos, T. E. Simos, Z. Kalogiratou, & T. Monovasilis (Eds.), International Conference of Computational Methods in Sciences and Engineering 2014, ICCMSE 2014 (pp. 147-150). (AIP Conference Proceedings; Vol. 1618). American Institute of Physics Inc.. https://doi.org/10.1063/1.4897702

Cabazos-Marín, Alma Rocío ; Álvarez-Borrego, Josué ; Coronel-Beltrán, Ángel. / Autofocus and fusion using nonlinear correlation. International Conference of Computational Methods in Sciences and Engineering 2014, ICCMSE 2014. editor / Theodore E. Simos ; Theodore E. Simos ; Theodore E. Simos ; Theodore E. Simos ; Theodore E. Simos ; Zacharoula Kalogiratou ; Theodore Monovasilis. American Institute of Physics Inc., 2014. pp. 147-150 (AIP Conference Proceedings).

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abstract = "In this work a new algorithm is proposed for auto focusing and images fusion captured by microscope's CCD. The proposed algorithm for auto focusing implements the spiral scanning of each image in the stack f(x, y)w to define the Vw vector. The spectrum of the vector FVw is calculated by fast Fourier transform. The best in-focus image is determined by a focus measure that is obtained by the FV1 nonlinear correlation vector, of the reference image, with each other FVW images in the stack. In addition, fusion is performed with a subset of selected images f(x, y)SBF like the images with best focus measurement. Fusion creates a new improved image f(x, y)F with the selection of pixels of higher intensity.",

keywords = "autofocus, fusion, nonlinear correlation, parabolic filter, spiral scanning",

author = "Cabazos-Mar{\'i}n, {Alma Roc{\'i}o} and Josu{\'e} {\'A}lvarez-Borrego and {\'A}ngel Coronel-Beltr{\'a}n",

note = "Publisher Copyright: {\textcopyright} 2014 AIP Publishing LLC.; International Conference of Computational Methods in Sciences and Engineering 2014, ICCMSE 2014 ; Conference date: 04-04-2014 Through 07-04-2014",

year = "2014",

month = oct,

day = "6",

doi = "10.1063/1.4897702",

language = "Ingl{\'e}s",

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publisher = "American Institute of Physics Inc.",

pages = "147--150",

editor = "Simos, {Theodore E.} and Simos, {Theodore E.} and Simos, {Theodore E.} and Simos, {Theodore E.} and Simos, {Theodore E.} and Zacharoula Kalogiratou and Theodore Monovasilis",

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Cabazos-Marín, AR, Álvarez-Borrego, J & Coronel-Beltrán, Á 2014, Autofocus and fusion using nonlinear correlation. in TE Simos, TE Simos, TE Simos, TE Simos, TE Simos, Z Kalogiratou & T Monovasilis (eds), International Conference of Computational Methods in Sciences and Engineering 2014, ICCMSE 2014. AIP Conference Proceedings, vol. 1618, American Institute of Physics Inc., pp. 147-150, International Conference of Computational Methods in Sciences and Engineering 2014, ICCMSE 2014, Athens, Greece, 4/04/14. https://doi.org/10.1063/1.4897702

Autofocus and fusion using nonlinear correlation. / Cabazos-Marín, Alma Rocío; Álvarez-Borrego, Josué; Coronel-Beltrán, Ángel.
International Conference of Computational Methods in Sciences and Engineering 2014, ICCMSE 2014. ed. / Theodore E. Simos; Theodore E. Simos; Theodore E. Simos; Theodore E. Simos; Theodore E. Simos; Zacharoula Kalogiratou; Theodore Monovasilis. American Institute of Physics Inc., 2014. p. 147-150 (AIP Conference Proceedings; Vol. 1618).

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

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AU - Cabazos-Marín, Alma Rocío

AU - Álvarez-Borrego, Josué

AU - Coronel-Beltrán, Ángel

PY - 2014/10/6

Y1 - 2014/10/6

N2 - In this work a new algorithm is proposed for auto focusing and images fusion captured by microscope's CCD. The proposed algorithm for auto focusing implements the spiral scanning of each image in the stack f(x, y)w to define the Vw vector. The spectrum of the vector FVw is calculated by fast Fourier transform. The best in-focus image is determined by a focus measure that is obtained by the FV1 nonlinear correlation vector, of the reference image, with each other FVW images in the stack. In addition, fusion is performed with a subset of selected images f(x, y)SBF like the images with best focus measurement. Fusion creates a new improved image f(x, y)F with the selection of pixels of higher intensity.

AB - In this work a new algorithm is proposed for auto focusing and images fusion captured by microscope's CCD. The proposed algorithm for auto focusing implements the spiral scanning of each image in the stack f(x, y)w to define the Vw vector. The spectrum of the vector FVw is calculated by fast Fourier transform. The best in-focus image is determined by a focus measure that is obtained by the FV1 nonlinear correlation vector, of the reference image, with each other FVW images in the stack. In addition, fusion is performed with a subset of selected images f(x, y)SBF like the images with best focus measurement. Fusion creates a new improved image f(x, y)F with the selection of pixels of higher intensity.

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KW - fusion

KW - nonlinear correlation

KW - parabolic filter

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BT - International Conference of Computational Methods in Sciences and Engineering 2014, ICCMSE 2014

A2 - Simos, Theodore E.

A2 - Kalogiratou, Zacharoula

A2 - Monovasilis, Theodore

PB - American Institute of Physics Inc.

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ER -

Cabazos-Marín AR, Álvarez-Borrego J, Coronel-Beltrán Á. Autofocus and fusion using nonlinear correlation. In Simos TE, Simos TE, Simos TE, Simos TE, Simos TE, Kalogiratou Z, Monovasilis T, editors, International Conference of Computational Methods in Sciences and Engineering 2014, ICCMSE 2014. American Institute of Physics Inc. 2014. p. 147-150. (AIP Conference Proceedings). doi: 10.1063/1.4897702

Autofocus and fusion using nonlinear correlation

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Keywords

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