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Visibility of objects in computer simulations of noisy micrographs
Author(s) -
David S. Bright,
Dale E. Newbury,
Eric B. Steel
Publication year - 1998
Publication title -
journal of microscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.569
H-Index - 111
eISSN - 1365-2818
pISSN - 0022-2720
DOI - 10.1046/j.1365-2818.1998.00249.x
Subject(s) - visibility , noise (video) , pixel , computer vision , artificial intelligence , object (grammar) , signal to noise ratio (imaging) , optics , computer science , physics , image (mathematics)
Thresholds of visibility for objects in images with random pixel noise are predicted in terms of the signal‐to‐noise ratio. From trials with volunteers marking test images, we determined visibility thresholds of objects obscured by random pixel noise. The test images had objects with a variety of simple shapes and relatively little internal structure. Aside from the noise, the background of the test images was smooth and featureless. We extend the threshold signal‐to‐noise ratio measurements of Rose and others to a variety of object sizes and shapes. For objects with areas less than a disc subtending 2° at the eye, visibility depends on the averaged difference in intensity from background, the noise level and the number of pixels in the object. Visibility does not seem to depend on object shape.