Spatially context aware multilevel color image segmentation using a Hybrid Artificial Hummingbird and Great Deluge mechanism
Tirumalasetti Supraja, Kankanala Srinivas · 2026
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Description
Tirumalasetti Supraja and Kankanala Srinivas present a 2026 hybrid algorithm for splitting color images into levels using multiple thresholds. Good segmentation underpins object recognition, medical imaging, and satellite analysis, yet classic methods converge slowly and ignore how neighboring pixels relate.
Their method starts from the Artificial Hummingbird Algorithm, which mimics hummingbird foraging, and seeds its population with four low-discrepancy patterns for wider coverage. Spatial context from nearby pixels sharpens the segmentation goal, measured by minimum cross entropy. A Great Deluge acceptance rule, which lets slightly worse solutions pass early on, guards against local traps during refinement. Benchmarks against rival metaheuristics favored the hybrid, and the code is public.
Catalog record
| CREATOR | Tirumalasetti Supraja, Kankanala Srinivas |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 153328 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |