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Proceedings Paper

Multifocus image fusion using Zernike moments
Author(s): C. Toxqui-Quitl; E. Velázquez-Ramírez; A. Padilla-Vivanco; J. Solís-Villarreal; C. Santiago-Tepantlán
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Paper Abstract

A multifocus image fusion method using orthogonal moments is presented. The focus measure is based in the compute of Zernike and Harmonic moments of an image function. The algorithm divides the input images into blocks and evaluate the contrast of each block. From this, the boundaries between focused and defocused regions have been determined. The method selects the better focused regions to create the final focused image. The method is based on orthogonal basis functions, which are used as moment weighting kernel. Fusion results show that, Zernike-Fourier moments can achieve a high quality fusion. However, Harmonics moments achieve a good fusion with a simple average of moments.

Paper Details

Date Published: 15 October 2012
PDF: 10 pages
Proc. SPIE 8499, Applications of Digital Image Processing XXXV, 849921 (15 October 2012); doi: 10.1117/12.930329
Show Author Affiliations
C. Toxqui-Quitl, Univ. Politécnica de Tulancingo (Mexico)
E. Velázquez-Ramírez, Univ. Politécnica de Tulancingo (Mexico)
A. Padilla-Vivanco, Univ. Politécnica de Tulancingo (Mexico)
J. Solís-Villarreal, Univ. Politécnica de Tulancingo (Mexico)
C. Santiago-Tepantlán, Univ. Politécnica de Tulancingo (Mexico)


Published in SPIE Proceedings Vol. 8499:
Applications of Digital Image Processing XXXV
Andrew G. Tescher, Editor(s)

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