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

^*Autor correspondiente de este trabajo

Departamento de Investigación en Física

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	International Conference of Computational Methods in Sciences and Engineering 2014, ICCMSE 2014
Editores	Theodore E. Simos, Theodore E. Simos, Theodore E. Simos, Theodore E. Simos, Theodore E. Simos, Zacharoula Kalogiratou, Theodore Monovasilis
Editorial	American Institute of Physics Inc.
Páginas	147-150
Número de páginas	4
ISBN (versión digital)	9780735412552
DOI	https://doi.org/10.1063/1.4897702
Estado	Publicada - 6 oct. 2014
Evento	International Conference of Computational Methods in Sciences and Engineering 2014, ICCMSE 2014 - Athens, Grecia Duración: 4 abr. 2014 → 7 abr. 2014

Serie de la publicación

Nombre	AIP Conference Proceedings
Volumen	1618
ISSN (versión impresa)	0094-243X
ISSN (versión digital)	1551-7616

Conferencia

Conferencia	International Conference of Computational Methods in Sciences and Engineering 2014, ICCMSE 2014
País/Territorio	Grecia
Ciudad	Athens
Período	4/04/14 → 7/04/14

Nota bibliográfica

Publisher Copyright:
© 2014 AIP Publishing LLC.

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10.1063/1.4897702

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Cabazos-Marín, A. R., Álvarez-Borrego, J., & Coronel-Beltrán, Á. (2014). Autofocus and fusion using nonlinear correlation. En 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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title = "Autofocus and fusion using nonlinear correlation",

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",

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publisher = "American Institute of Physics Inc.",

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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. En 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, Grecia, 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).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Autofocus and fusion using nonlinear correlation

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

KW - spiral scanning

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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.

T2 - International Conference of Computational Methods in Sciences and Engineering 2014, ICCMSE 2014

Y2 - 4 April 2014 through 7 April 2014

ER -

Cabazos-Marín AR, Álvarez-Borrego J, Coronel-Beltrán Á. Autofocus and fusion using nonlinear correlation. En Simos TE, Simos TE, Simos TE, Simos TE, Simos TE, Kalogiratou Z, Monovasilis T, editores, 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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