# An optimum multi-level image thresholding segmentation using non-local means 2D histogram and exponential Kbest gravitational search algorithm

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-optimum-multi-level-image-thresholding-segmentation-using-non-local-means-2d/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Himanshu Mittal,Mukesh Saraswat |
| Citations | 169 |
| DOI | 10.1016/j.engappai.2018.03.001 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2790510783 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Himanshu Mittal](https://scholariq.org/researchers/himanshu-mittal/)

## Paper journal

- [Engineering Applications of Artificial Intelligence](https://scholariq.org/journals/engineering-applications-of-artificial-intelligence/)

## Paper primary topic

- [Image Enhancement Techniques](https://scholariq.org/topics/image-enhancement-techniques/)

## Paper topics

- [Image Enhancement Techniques](https://scholariq.org/topics/image-enhancement-techniques/)
- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)
- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)

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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.