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authorNick White <git@njw.name>2020-11-06 16:19:31 +0000
committerNick White <git@njw.name>2020-11-06 16:19:31 +0000
commitcfbecc747c3db15c307168e8b5baa24c80ad7f35 (patch)
treeb28e2014f96168bd49385883f9c556574ceeaf17 /content/posts/adaptive-binarisation/index.md
parentb5f11cf4910cef277defad486604a3aab7b7bf74 (diff)
Add docs links to packages on adaptive binarisation page
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@@ -90,12 +90,12 @@ So, we wrote a Go package which does Sauvola binarisation, which
contains both standalone command line tools and can be used as a
package in your own Go projects. The same package contains some
other image preprocessing functionality, so the package is called
-[rescribe.xyz/preproc](https://rescribe.xyz/preproc). The command
-line binarisation tool in the package is *binarize*, and the
-relevant Go functions are Sauvola() and IntegralSauvola().
+[rescribe.xyz/preproc](https://rescribe.xyz/preproc) ([docs](https://pkg.go.dev/rescribe.xyz/preproc)).
+The command line binarisation tool in the package is *binarize*, and
+the relevant Go functions are Sauvola() and IntegralSauvola().
The Integral Image support is provided by another package we wrote,
-[rescribe.xyz/integralimg](https://rescribe.xyz/integralimg), which
-is general purpose and has a test suite, so will also be useful for
-other image processing tools which require calculating the mean or
-standard deviation for different areas of an image.
+[rescribe.xyz/integral](https://rescribe.xyz/integral) ([docs](https://pkg.go.dev/rescribe.xyz/integral)),
+which will also be useful for other image processing tools which
+require calculating the mean or standard deviation for different
+areas of an image.