Hybrid Multi-Scale Feature Transform Based Fusion of X-Ray and Radar Image
| International Journal of Electronics and Communication Engineering |
| © 2023 by SSRG - IJECE Journal |
| Volume 10 Issue 10 |
| Year of Publication : 2023 |
| Authors : Gude Ramarao, Chinni.Hima Bindu, T.S.N Murthy |
10.14445/23488549/IJECE-V10I10P106
How to Cite?
Gude Ramarao, Chinni.Hima Bindu, T.S.N Murthy, "Hybrid Multi-Scale Feature Transform Based Fusion of X-Ray and Radar Image," SSRG International Journal of Electronics and Communication Engineering, vol. 10, no. 10, pp. 57-63, 2023. Crossref, https://doi.org/10.14445/23488549/IJECE-V10I10P106
Abstract:
X-ray and radar imaging are two different imaging techniques that can be used for various applications, such as security screening, medical imaging, and geophysical exploration. High-energy X-rays are used to make images of objects by detecting their backscattered radiation. The generated image contains information on the object’s interior structure and composition. Instead, radar imaging employs radio waves to form images by measuring reflected signals’ time delay and intensity. X-ray and radar images are aligned using a feature-based registration method. The goal of feature-based registration is to find corresponding points or features in the pictures and use them to compute the transformation that aligns the images. This paper proposed a Multi-Scale Feature Transform (MSFT) to improve the performance of feature extraction and object recognition tasks. Experimental results using image quality tests demonstrate that Multi-scale transform fusion performs better based on lesser false data, higher colour accuracy, and better image visibility.
Keywords:
Multi-Scale Feature Transform, Feature-based registration, Fusion image, X-Ray and radar image, NDT
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