GMMImage

<code>GMM</code> clustering of image imported as a RasterStack.

Quantification of variation in organismal color patterns as
obtained from image data. Patternize defines homology between pattern positions
across images either through fixed landmarks or image registration. Pattern
identification is performed by categorizing the distribution of colors using RGB
thresholds or image segmentation.

Steven Van Belleghem

patternize

Quantification of Color Pattern Variation

GMMImage function

<dl><dt>image</dt>
<dd>Image imported as a RasterStack for clustering.</dd>
<dt>k</dt>
<dd>Integer for number of k clusters (default = 3).</dd>
<dt>maskToNA</dt>
<dd>Replace the color value used for masking (i.e. 0 or 255) with NA.</dd>
<dt>kmeansOnAll</dt>
<dd>Whether to perform the kmeans clusters on the combined set of pixels of all images
first (default = FALSE).</dd></dl>

Arguments

GMM clustering of image imported as a RasterStack. — GMMImage

<dl>

<dt>image</dt>
<dd>Image imported as a RasterStack for clustering.</dd>


<dt>k</dt>
<dd>Integer for number of k clusters (default = 3).</dd>


<dt>maskToNA</dt>
<dd>Replace the color value used for masking (i.e. 0 or 255) with NA.</dd>


<dt>kmeansOnAll</dt>
<dd>Whether to perform the kmeans clusters on the combined set of pixels of all images
first (default = FALSE).</dd>

</dl>

GMMImage: `GMM` clustering of image imported as a RasterStack.

Description

Usage

Value

Arguments