Image Processing and its Military Applications

@article{Shah1987ImagePA,
  title={Image Processing and its Military Applications},
  author={V. V.D. Shah},
  journal={Defence Science Journal},
  year={1987},
  volume={37},
  pages={457-468}
}
  • V. Shah
  • Published 17 January 1987
  • Engineering
  • Defence Science Journal
One of the important breakthroughs, image processing is the stand alone, non-human image understanding system (IUS). The task of understanding images becomes monumental as one tries to define what understanding really is. Both pattern recognition and artificial intelligence are used in addition to traditional signal processing. Scene analysis procedures using edge and texture segmentation can be considered as the early stages of image understanding process. Symbolic representation and… Expand

Figures from this paper

Ideology of Image Segmentation and Methods Thereof
TLDR
This paper intends to explicate a methodical study of a range of image segmentation techniques along with various methods to optimize the results of segmentation. Expand
The Image Recognition System for Terrestrial Reconnaissance
TLDR
This paper presents the forthcoming technology of the real-time image recognition for terrestrial reconnaissance by using the road texture analysis in image analytic and can compare the buried surface with the normal surface of the road and warning the troops beforehand. Expand
NSST and vector-valued C-V model based image segmentation algorithm
TLDR
A novel image segmentation algorithm based on NSST and the vector-valued Chan–Vese (C–V) model, which takes full advantages of each subband's directional information during its diffusion process, compared with traditional C–V model. Expand
Evolution of Third Eye System Converging with Networked Control System and Image Processing Techniques
TLDR
A third eye system to enhance the safety and visual capability of the soldier using the NCS framework is proposed to empower the Special Forces for military or critical operations. Expand
Novel IT Technologies on the Digital Battlefield: The Application of Big Data and Data Mining Technologies
TLDR
This study defines Big Data and its concept as applied to military reconnaissance, focusing on the processing of imagery and textual data, bringing to light modern data processing and analytics methods that enable  effective processing. Expand
Edge detection using fractional derivatives and information sets
TLDR
It is observed that the resulting edge maps of the proposed edge detector contain more quantitative and qualitative information than that of traditional edge detectors even in the presence of noise. Expand
A New Trend of Quantum Image Representations
TLDR
This work defines the definition of these quantum image representations the preparation of quantum images and the number of quantum bits required as well as the computational complexity, and analyzes, compares and summarizes the similarities and differences. Expand
LHM Filter for Removal Salt and Pepper with Random Noise in Images
TLDR
A LHM filter is proposed to remove high density salt & pepper noise from digital images and outer range noise and shows better performance as compared to the existing filters for noise removal from different gray scale images. Expand
Research on Infrared Small Target Detection and Tracking Algorithms Based on Wavelet Transformation
In dynamic targets tracking measure system, a new detection algorithm on infrared small target is put forward. The algorithm is base on wavelet transformation, and by using it we can gain clearExpand
Quantitative Evaluation of the Eco-Environment in a Coalfield Based on Multi-Temporal Remote Sensing Imagery: A Case Study of Yuxian, China
TLDR
Using Landsat 7 ETM+ and Landsat 8 OLI images obtained between 2005 and 2016 to analyze the eco-environment in a coalfield, a novel evaluation model based on the biological abundance index, vegetation coverage index, water density index, and natural geographical factors showed that the ecological quality could be considered as “good”. Expand
...
1
2
...

References

SHOWING 1-4 OF 4 REFERENCES
Algorithms for Graphics and Image Processing
1: Introduction.- 1.1 Graphics, Image Processing, and Pattern Recognition.- 1.2 Forms of Pictorial Data.- 1.2.1 Class 1: Full Gray Scale and Color Pictures.- 1.2.2 Class 2: Bilevel or "Few Color"Expand
A critical analysis of remote sensing technology
  • In Digital Image Analysis,
  • 1984
Remote sensing : A view of integration
  • Digital Image Analysis ,
  • 1984