Dirkjan at 20:16, 27 August 2020

2020-08-27T20:16:44Z

Dirkjan: Created page with "
The spatial domain is the normal image space, in which a change in position in I directly projects to a change in position in S. Distances in I (in pixels) c..."

2020-08-25T09:35:44Z

Created page with "<html>The spatial domain is the normal image space, in which a change in position in I directly projects to a change in position in S. Distances in I (in pixels) c..."

New page

<html>The
spatial domain is the normal image space, in which
a change in position in I directly projects to a change in position in
S. Distances in I (in pixels) correspond to real distances
(e.g. in meters) in S.This
concept is used most often when discussing the frequency with which
image values change, that is, over how many pixels does a cycle of
periodically repeating intensity variations occur. One would refer to
the number of pixels over which a pattern repeats (its periodicity) in
the spatial domain. In most cases, the <a
href="http://homepages.inf.ed.ac.uk/rbf/HIPR2/fourier.htm">Fourier
Transform</a> will be used to convert images from the spatial
domain into the<a
href="http://homepages.inf.ed.ac.uk/rbf/HIPR2/freqdom.htm">frequency
domain</a>.

A related term used in this
context is [[spatial frequency|spatial frequency]], which refers to
the (inverse of the) periodicity with which the image intensity values
change. Image features with high spatial frequency (such as edges) are
those that change greatly in intensity over short image distances.
Another term used in this context is
[[spatial derivative|spatial derivative]], which refers to how much
the image intensity values change per change in image position.
</html>
[[Category:microscopy]]

[[Category:image]]

[[Category:processing]]

@@ Line 16: / Line 16: @@
 </p><p>
 A related term used in this
-context is [[<em>spatial frequency</em>|<em>spatial frequency</em>]], which refers to
+context is [[<em>spatial frequency</em>]], which refers to
 the (inverse of the) periodicity with which the image intensity values
 change. Image features with high spatial frequency (such as edges) are
 those that change greatly in intensity over short image distances.
 </p><p>Another term used in this context is
-<em>[[spatial derivative</em>|spatial derivative</em>]], which refers to how much
+<em>[[spatial derivative</em>]], which refers to how much
 the image intensity values change per change in image position.
 </p></html>

Spatial domain - Revision history

Dirkjan at 20:16, 27 August 2020

Dirkjan: Created page with "The spatial domain is the normal image space, in which a change in position in I directly projects to a change in position in S. Distances in I (in pixels) c..."

Dirkjan: Created page with "
The spatial domain is the normal image space, in which a change in position in I directly projects to a change in position in S. Distances in I (in pixels) c..."