Superpixel Segmentation with the Simple Non-Iterative Clustering Algorithm
Internal grid utilities (developer documentation)
Internal plotting utilities (developer documentation)
Internal SNIC helpers
Internal utilities for native calls and helpers
Internal message dictionary
Convert seed coordinates between raster index, map, and WGS84 systems
Internal seed utilities
Animated visualization of SNIC seeding and segmentation
Backend abstraction layer for SNIC data structures
SNIC segmentation container
Interactive seed selection for SNIC segmentation
Spatial grid seeding for SNIC segmentation
Package initialization hook
Plot SNIC imagery
Simple Non-Iterative Clustering (SNIC) segmentation
Check whether 'terra' CRS transformations are available
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.
Useful links