Enhancing Military Visual Communication in Harsh Environments Using Computer Vision Techniques

This research investigates the application of digital images in military contexts by utilizing analytical equations to augment human visual capabilities. A comparable filter is used to improve the visual quality of the photographs by reducing truncations in the existing images. Furthermore, the collected images undergo processing using histogram gradients and a flexible threshold value that may be adjusted in specific situations. Thus, it is possible to reduce the occurrence of overlapping circumstances in collective picture characteristics by substituting grey-scale photos with colorized factors. The proposed method offers additional robust feature representations by imposing a limiting factor to reduce overall scattering values. This is achieved by visualizing a graphical function. Moreover, to derive valuable insights from a series of photos, both the separation and in-version processes are conducted. This involves analyzing comparison results across four different scenarios. The results of the comparative analysis show that the proposed method effectively reduces the difficulties associated with time and space to 1 s and 3%, respectively. In contrast, the existing strategy exhibits higher complexities of 3 s and 9.1%, respectively.

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Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2025-01-01
DOI
https://doi.org/10.32604/cmc.2025.064394
Primary Topic
Simulation and Modeling Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Military Visual Communication in Harsh Environments Using Computer Vision Techniques

Shitharth Selvarajan, Taher Al‐Shehari, Shantanu Singh, Hariprasath Manoharan et al.
Computers, materials & continua/Computers, materials & continua (Print)
Simulation and Modeling Applications
article

Enhancing Military Visual Communication in Harsh Environments Using Computer Vision Techniques

Shitharth Selvarajan, Taher Al‐Shehari, Shantanu Singh, Hariprasath Manoharan, Nasser A Alsadhan
article en

Abstract

This research investigates the application of digital images in military contexts by utilizing analytical equations to augment human visual capabilities. A comparable filter is used to improve the visual quality of the photographs by reducing truncations in the existing images. Furthermore, the collected images undergo processing using histogram gradients and a flexible threshold value that may be adjusted in specific situations. Thus, it is possible to reduce the occurrence of overlapping circumstances in collective picture characteristics by substituting grey-scale photos with colorized factors. The proposed method offers additional robust feature representations by imposing a limiting factor to reduce overall scattering values. This is achieved by visualizing a graphical function. Moreover, to derive valuable insights from a series of photos, both the separation and in-version processes are conducted. This involves analyzing comparison results across four different scenarios. The results of the comparative analysis show that the proposed method effectively reduces the difficulties associated with time and space to 1 s and 3%, respectively. In contrast, the existing strategy exhibits higher complexities of 3 s and 9.1%, respectively.

Computers, materials & continua/Computers, materials & continua (Print)Vol. 84(2)
Openalex Percentile: Top 84%
Simulation and Modeling Applications
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