DocumentCode :
2321964
Title :
A contrast-based focusing criterium
Author :
Binefa, Xavier ; Vitrià, Jordi
Author_Institution :
Dept. d´´Inf., Univ. Autonoma de Barcelona, Spain
Volume :
1
fYear :
1996
fDate :
25-29 Aug 1996
Firstpage :
805
Abstract :
In this paper a new criterion for determining the optimal focus setting during the image acquisition process is presented. It is based upon a new representation of the focal variation of contrast between images: the dynamic contrast histogram (DCH). The DCH of a point is a scaled joint probability density function between the gray levels of two images of the same scene, acquired with different focus settings in a neighbourhood of that point. The dynamic focusing criterion (DFC) developed here computes the slope of the principal axis of the DCH as a focusing criterion. The results of this technique are compared to other methods based on a quality measure of its focusing ability, its sensitivity to noise, and its computational complexity. Results are presented from microscopic images
Keywords :
active vision; computational complexity; computer vision; optical focusing; optical self-focusing; probability; computational complexity; contrast-based focusing criterion; dynamic contrast histogram; image acquisition; microscopic images; noise sensitivity; scaled joint probability density function; Artificial intelligence; Computer vision; Convolution; Equations; Focusing; Frequency; Layout; Lenses; Microscopy; Optical noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
ISSN :
1051-4651
Print_ISBN :
0-8186-7282-X
Type :
conf
DOI :
10.1109/ICPR.1996.546135
Filename :
546135
Link To Document :
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