MATLAB DATABASE TOOLBOX RELEASE NOTES Guide de l'utilisateur Page 225

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New Features
18-9
New Demos
The Image Processing Toolbox 3.1 includes the 15 new extended example
demos, presented in HTML form.
Demo Name Brief Description
ipexconformal
Explore a Conformal Mapping: illustrates how to
use spatial- and image-transformation functions to
perform a conformal mapping.
ipexdeconvblind
Deblurring Images Using the Lucy-Richardson
algorithm: illustrates use of the
deconvlucy
function. [New with Version 3.1]
ipexdeconvlucy
Deblurring Images Using the Lucy-Richardson
algorithm: illustrates use of the
deconvlucy
function.
ipexdeconvreg
Deblurring Images Using a Regularized Filter:
illustrates use of the
deconvreg function.
ipexdeconvwnr
Deblurring Images Using the Wiener Filter:
illustrates use of the
deconvwnr function.
ipexgranulometry
Finding the Granulometry of Stars in an Image:
illustrates how to use morphology functions to
perform granulometry.
ipexmri
Extracting Slices from a 3-Dimensional MRI Data
Set: illustrates how to use the image
transformation functions to interpolate and reslice
a three-dimensional MRI data set, providing a
convenient way to view a volume of data.
ipexnormxcorr2
Registering an Image Using Normalized
Cross-correlation: illustrates how to use translation
to align two images.
ipexregaerial
Registering an Aerial Photo to an Orthophoto:
illustrates how to use the Control Point Selection
Tool to align two images.
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