# A multi-threshold segmentation approach based on Artificial Bee Colony optimization

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-multi-threshold-segmentation-approach-based-on-artificial-bee-colony/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Erik Cuevas,Felipe Sención,Daniel Zaldívar,Marco Pérez‐Cisneros,Humberto Sossa |
| Citations | 95 |
| DOI | 10.1007/s10489-011-0330-z |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2092340766 |
| Type | article |
| Year | 2012 |

## Paper authors

- [Humberto Sossa](https://scholariq.org/researchers/humberto-sossa/)

## Paper primary topic

- [Metaheuristic Optimization Algorithms Research](https://scholariq.org/topics/metaheuristic-optimization-algorithms-research/)

## Paper topics

- [Metaheuristic Optimization Algorithms Research](https://scholariq.org/topics/metaheuristic-optimization-algorithms-research/)
- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)
- [Remote-Sensing Image Classification](https://scholariq.org/topics/remote-sensing-image-classification/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.