A spatial perturbation paradigm was used to determine equivalent intri
nsic uncertainty and spatial integration efficiency in bisection. Spec
ifically, three-line bisection thresholds were measured in the fovea o
f four normal observers with stimulus lines comprised of discrete dark
dots distributed randomly around the mean line position according to
a Gaussian function. The standard deviation of the Gaussian distributi
on (sigma(e)), the number (N), and the strength (C) of the dots as wel
l as line separation were varied. Bisection thresholds were modeled by
an ideal integrator, from which the magnitude of equivalent internal
uncertainty (sigma(i)), the equivalent effective number of dots (k), a
nd equivalent integration efficiency (k/N) were quantified. At the 2 m
in are separation, sigma(i) decreases (down to a few sec arc) as N and
/or C increases. The effects of both N and C can be accounted for by t
he stimulus visibility (V, in multiples of detection threshold). At th
e 16 min arc separation, sigma(i) is independent of N, C, or V, and is
about 1 min arc. The two different forms of sigma(i) indicate that bi
section judgments are limited by at least two separate sources of limi
ting noise, consistent with the hypothesis of two separate mechanisms
(i.e. spatial filters and local signs). A visibility dependent sigma(i
) at the 2 min are separation can be explained on the basis of contras
t sensitive spatial filter mechanisms. A fixed sigma(i) at the 16 min
arc separation indicates a genuine positional uncertainty, consistent
with local-sign mechanisms. Interestingly, equivalent integration effi
ciency (k/N) is very similar at the two line separations. k/N is criti
cally dependent on, and proportional to C, indicating a common limitat
ion in a detection mechanism.