On the public citation graph
Image thresholding based on swarm intelligence technique for image segmentation
0 signed · 16 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-16527-6_40openalex-snapshot
Multilevel Image Thresholding Selection Using the Artificial Bee Colony Algorithm
inferredcites →https://doi.org/10.1007/s12293-013-0123-5openalex-snapshot
Bi-level thresholding using PSO, Artificial Bee Colony and MRLDE embedded with Otsu method
inferredcites →https://doi.org/10.1109/acct.2015.63openalex-snapshot
A Review on the Strategies and Techniques of Image Segmentation
inferredcites →https://doi.org/10.1109/cec.2014.6900402openalex-snapshot
A cooperative honey bee mating algorithm and its application in multi-threshold image segmentation
inferredcites →https://doi.org/10.1109/iccet.2010.5485600openalex-snapshot
A novel method for multi-level image thresholding using particle swarm Optimization algorithms
inferredcites →https://doi.org/10.1109/iccet.2010.5486012openalex-snapshot
A color image segmentation algorithm based on region growing
inferredcites →https://doi.org/10.1109/icetect.2011.5760176openalex-snapshot
Segmentation of pulmonary parenchyma in CT lung images based on 2D Otsu optimized by PSO
inferredcites →https://doi.org/10.1109/idaacs.2015.7340748openalex-snapshot
An image threholding approach based on cuckoo search algorithm and 2D maximum entropy
inferredcites →https://doi.org/10.1109/radioelek.2015.7129057openalex-snapshot
Multilevel image thresholding by fireworks algorithm
inferredcites →https://doi.org/10.1109/wict.2011.6141266openalex-snapshot
Differential evolution embedded Otsu's method for optimized image thresholding
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s10044-022-01079-yopenalex-snapshot
Arctangent entropy: a new fast threshold segmentation entropy for light colored character image on semiconductor chip surface
inferred← citeshttps://doi.org/10.1007/s11227-018-2622-0openalex-snapshot
An Otsu multi-thresholds segmentation algorithm based on improved ACO
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120058openalex-snapshot
Aptenodytes Forsteri optimization algorithm based on adaptive perturbation of oscillation and mutation operation for image multi-threshold segmentation
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122316openalex-snapshot
A Multi-Level Thresholding Image Segmentation Method Using Hybrid Arithmetic Optimization and Harris Hawks Optimizer Algorithms
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.105570openalex-snapshot
An improved emperor penguin optimization based multilevel thresholding for color image segmentation
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.