rings_segmentation

Segment an hemispherical view by slicing the zenith angle from zero to 90º
in equals intervals.

Classify hemispherical
photographs of the plant canopy with algorithms specially developed for
such a task and well documented in
Díaz and Lencinas (2015) <doi:10.1109/lgrs.2015.2425931> and
Díaz and Lencinas (2018) <doi:10.1139/cjfr-2018-0006>. It supports
non-circular hemispherical photography, such as those acquired with
15mm lenses or with auxiliary fish-eye lenses attached to mobile devices.
For smartphone-based hemispherical photography see
Díaz (2023) <doi:10.1111/2041-210x.14059>. Most of the functions also
support restricted view photography.

Gast<c3><b3>n Mauro D<c3><ad>az

rcaiman

CAnopy IMage ANalysis

Gastón Mauro Díaz

rings_segmentation function

<dl><dt>z</dt>
<dd>SpatRaster built with <code>zenith_image()</code>.</dd>
<dt>angle_width</dt>
<dd>Numeric vector of length one. Angle in degrees able to
divide the angle range into a whole number of segments.</dd>
<dt>return_angle</dt>
<dd>Logical vector of length one. If it is <code>FALSE</code>, all
the pixels that belong to a segment are labeled with an ID number.
Otherwise, the angle mean of the segment is assigned to the pixels.</dd></dl>

Arguments

Do rings segmentation — rings_segmentation

<dl>

<dt>z</dt>
<dd>SpatRaster built with <code>zenith_image()</code>.</dd>


<dt>angle_width</dt>
<dd>Numeric vector of length one. Angle in degrees able to
divide the angle range into a whole number of segments.</dd>


<dt>return_angle</dt>
<dd>Logical vector of length one. If it is <code>FALSE</code>, all
the pixels that belong to a segment are labeled with an ID number.
Otherwise, the angle mean of the segment is assigned to the pixels.</dd>

</dl>

rings_segmentation: Do rings segmentation

Description

Usage

Value

Arguments

See Also

Examples