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MVTools
software,
the
core
vision
algorithm
library
within
Sherlock,
is
a
complete
C/C++
library
of
highly
robust
grayscale
machine
vision
tools.
Unique
to
MVTools
is
Edge
Crawler,
a
new
geometric
pattern-finding
tool
that
extracts
and
reports contour
points,
accurate
down
to
the
subpixel
level.
Some
of
the
additional
algorithms
available
are
grayscale
search,
SMART
Series,
blob,
morphology,
point
processing,
convolution,
Fourier
transform,
non-linear
area
processing,
geometric transformation,
color
image
processing,
camera
and
display
abstractions,
and
many
more
features
for
automation
professionals
developing
and
deploying
high
performance
machine
vision
characteristics
within
high-volume
OEM products.
Designed
for
extreme
speed,
accuracy,
and
ease-of-use,
MVTools
offers
the
most
comprehensive
set
of
robust
vision tools
that
speeds
time-to-market
for
OEMs,
system
integrators,
and
automated
machine
builders.
A
hardware
independent package,
MVTools
now
supports
frame
grabbers
from
any
vendor
that
delivers
8
or
16-bit
data
to
memory.
Once
your
application's
performance
is
proven
from
within
the
MVTools
development
environment
(Sherlock)
and
are prepared
to
deploy
your
application,
several
options
are
available
to
the
OEM
or
system
integrator.
For
OEMs
who
are
commonly
concerned
with
embedding
the
most
reliable
and
cost-effective
solution,
MVTools
C/C++
library
or
DLLs
allow
OEMs
to
write
their
own
VisualBasic
or
Visual
C++
front
ends
to
access
MVTools
machine
vision
algorithms.
The
economical
MVTools
run-time
license
enables
OEMs
to
minimize
their
total
machine
vision
hardware
and
software
costs
and
deliver
the
most
cost-effective
solution.
Alternatively,
for
OEMs
who
prefer
to
program
vision
tasks
via
OCX,
users
can
choose
to
run
the
Sherlock
application
in
server
mode
and
communicate
with
the
vision
application
using
a
VisualBasic
or
Visual
C++
front
end.
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