internal_plot_helpers

.plot_core

.plot_seeds

.plot_segments

Shared helpers for rendering arrays and raster objects via terra.
These functions are not exported; they encapsulate the common steps needed
for plotting SNIC images, seeds, and segments.

internal

Implements the Simple Non-Iterative Clustering algorithm for
superpixel segmentation of multi-band images, as introduced by Achanta
and Susstrunk (2017) <doi:10.1109/CVPR.2017.520>. Supports both standard
image arrays and geospatial raster objects, with a design that can be
extended to other spatial data frameworks. The algorithm groups adjacent
pixels into compact, coherent regions based on spectral similarity and
spatial proximity. A high-performance implementation supports images
with arbitrary spectral bands.

Rolf Simoes

snic

Superpixel Segmentation with the Simple Non-Iterative Clustering
Algorithm

Felipe Souza

Felipe Carlos

Gilberto Camara

internal_plot_helpers function

<ul>
<li><code>.plot_core(x, plot_args)</code>
 Handles the low-level plotting of either a single band or an RGB composite.</li>
<li><code>.plot_seeds(seeds_xy, x, plot_args, add)</code>
 Draws seed locations over an existing plot window.</li>
<li><code>.plot_segments(x, plot_args, add)</code>
 Converts segmentation rasters into polygons and plots them with the
 supplied style overrides.</li>
</ul>

Functions

Internal plotting utilities (developer documentation) — internal_plot_helpers

<ul>
<li><code>.plot_core(x, plot_args)</code>
 Handles the low-level plotting of either a single band or an RGB composite.</li>
<li><code>.plot_seeds(seeds_xy, x, plot_args, add)</code>
 Draws seed locations over an existing plot window.</li>
<li><code>.plot_segments(x, plot_args, add)</code>
 Converts segmentation rasters into polygons and plots them with the
 supplied style overrides.</li>
</ul>

internal_plot_helpers: Internal plotting utilities (developer documentation)

Description

Usage

Arguments

Functions