diagnoseLD

the object return by <code>monitoringStat()</code>

plots the binary diagnositc image if set to <code>TRUE</code>

plot.it

Produces a binary diagnostic image of a given stochastic textured surface image based on its spatial moving statistics.

Provides statistical process control tools for stochastic
textured surfaces. The current version supports the following tools:
(1) generic modeling of stochastic textured surfaces.
(2) local defect monitoring and diagnostics in stochastic
textured surfaces, which was proposed by Bui and Apley (2018a)
<doi:10.1080/00401706.2017.1302362>.
(3) global change monitoring in the nature of stochastic
textured surfaces, which was proposed by Bui and Apley (2018b)
<doi:10.1080/00224065.2018.1507559>.
(4) computation of dissimilarity matrix of stochastic textured
surface images, which was proposed by Bui and Apley (2019b)
<doi:10.1016/j.csda.2019.01.019>.

Anh Bui

spc4sts

Statistical Process Control for Stochastic Textured Surfaces

diagnoseLD function

<dl> <dt>ms</dt>
<dd>the object return by <code>monitoringStat()</code></dd> <dt>dth</dt>
<dd>the diagnostic threshold</dd> <dt>plot.it</dt>
<dd>plots the binary diagnositc image if set to <code>TRUE</code></dd></dl>

Arguments

Author

Diagnose Local Defects on Stochastic Textured Surfaces — diagnoseLD

<dl>

 <dt>ms</dt>
<dd>the object return by <code>monitoringStat()</code></dd>

 <dt>dth</dt>
<dd>the diagnostic threshold</dd>

 <dt>plot.it</dt>
<dd>plots the binary diagnositc image if set to <code>TRUE</code></dd>

</dl>

diagnoseLD: Diagnose Local Defects on Stochastic Textured Surfaces

Description

Usage

Value

Arguments

Author

References

See Also

Examples