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The influence of chromatic components on extended depth of field imaging
Author(s) -
Navas Javier,
Martín Joaquín
Publication year - 2009
Publication title -
microscopy research and technique
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.536
H-Index - 118
eISSN - 1097-0029
pISSN - 1059-910X
DOI - 10.1002/jemt.20685
Subject(s) - chromatic scale , hue , rgb color model , basis (linear algebra) , pixel , lightness , mathematics , relation (database) , artificial intelligence , computer science , variance (accounting) , algorithm , computer vision , geometry , data mining , combinatorics , accounting , business
Abstract The analysis of variance is one of the most commonly used algorithms for detecting focalized zones in digital images and is an entry point to extended focalization techniques beyond those established by optical laws. This article analyses the dependence of the red, green, and blue (RGB) and lightness, hue, and saturation (LHS) components when used as the basis for applying an algorithm to obtain images with extended depth of field. Also, an algorithm developed by the authors is described and the dependence of the final result is shown according to the chromatic components used as the variables. Finally, a methodology is defined based on the study of second variance in relation to the number of images and pixels of the chromatic coordinates to decide which to use as the basis for the calculation. Microsc. Res. Tech., 2009. © 2009 Wiley‐Liss, Inc.