Changes between Version 204 and Version 205 of UvmatHelp

Timestamp:

May 14, 2018, 1:50:26 PM (7 years ago)

Author:

sommeria

Comment:

--

UvmatHelp

@@ -779 +779 @@
 == 11 - PIV: Particle Imaging Velocimetry == #Civ
 === 11.1 Overview ===
-Particle Image Velocimetry (PIV) measures the displacement of features in a pair of images by maximising the correlation. 
-
- * Usual PIV provides the 2D velocity components in a illuminated plane. 
- * The 3 velocity components in a plane can be obtained by combining two views of this plane by two differents cameras: this is the stereoscopic 3C PIV described in [wiki:[#sec11.6 section 11.6]. 
+Particle Image Velocimetry (PIV) measures the displacement of features in a pair of images by maximising the correlation.
+
+ * Usual PIV provides the 2D velocity components in a illuminated plane.
+ * The 3 velocity components in a plane can be obtained by combining two views of this plane by two differents cameras: this is the stereoscopic 3C PIV described in [#sec11.6 section 11.6].
  * PIV can be performed in a volume by scanning the illuminated plane, see below.
- * The same image correlation technique can be used to measure 2D displacement from a single reference image (see mode 'displacement' below). 
- * Image correlation can be used also to get the shape of a 3D surface by comparing the images of two stereoscopic views of the surface marked by some visual patterns. Then image correlation is used to identify the common points on the two images, see [wiki:[#sec11.7] section 11.7].
-
-Usual PIV and 2D displacement measurements can be performed by selecting the Matlab function ''civ_series'' as '''[!ActionName]''' in the GUI '''series.fig''': then the '''GUI civ_input''' appears to enter the processing parameters. An image file series must be entered as input of '''series.fig'''. 
+ * The same image correlation technique can be used to measure 2D displacement from a single reference image (see mode 'displacement' below).
+ * Image correlation can be used also to get the shape of a 3D surface by comparing the images of two stereoscopic views of the surface marked by some visual patterns. Then image correlation is used to identify the common points on the two images, see [#sec11.7 section 11.7].
+
+Usual PIV and 2D displacement measurements can be performed by selecting the Matlab function ''civ_series'' as '''[!ActionName]''' in the GUI '''series.fig''': then the '''GUI civ_input''' appears to enter the processing parameters. An image file series must be entered as input of '''series.fig'''.
 
 An alternative obsolete possibility (not advised) is to use the older Fortran program ''CivX'' from the GUI '''civ.fig'''. This can be called directly on the Matlab prompt, by typing  ''>>civ'', or from UVMAT by the menu bar command '''[RUN/PIV (old civ)]'''.