Abstract
This paper presents two efficient approaches for object detection from Infrared (IR) images. The first approach is based on enhancement using histogram equalization (HE) in addition to gradient estimation using Laplacian filter, and finally estimation of the cumulative histogram for the detection or classification task. The second approach is based on gradient estimation after a hybrid structure comprising HE and contrast-limited adaptive histogram equalization (CLAHE), and finally cumulative histogram estimation for object discrimination. After the cumulative histogram estimation, the difference between cumulative histograms with and without objects is estimated and used for discrimination in object detection or gait recognition. The two proposed approaches in this paper are compared with traditional ones including CLAHE with gradient and cumulative histogram estimation (CLAHE-GCH); additive wavelet transform with homomorphic processing, gradient and cumulative histogram estimation (AWTH-GCH); and histogram matching with gradient and cumulative histogram estimation (HM-GCH). Simulation results prove the necessity of using an enhancement technique as the first step in detecting objects from IR images. The results demonstrate also the success of both proposed approaches in detecting objects from IR images compared to traditional methods.
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Abbreviations
- AWT:
-
Additive wavelet transform
- HE:
-
Histogram equalization
- CLAHE:
-
Contrast-limited adaptive histogram equalization
- CLAHE-GCH:
-
CLAHE with gradient and cumulative histogram estimation
- AWTH-GCH:
-
Additive wavelet transform with histogram matching, gradient and cumulative histogram estimation
- HM-GCH:
-
Histogram matching with gradient estimation and cumulative histogram estimation
- LARK:
-
Locally-adaptive regression kernel
- CDF:
-
Cumulative density function
- TSAHE:
-
Two-stage adaptive histogram equalization
- LoG:
-
Laplacian of Gaussian
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Acknowledgements
Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2023R66), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
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Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2023R66), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
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Gamal, A.M., Ashiba, H.I., El-Banby, G.M. et al. Object Detection from Enhanced IR Images Based on Preprocessing and Cumulative Histogram Estimation for Tracking and Gait Recognition Applications. J Opt (2023). https://doi.org/10.1007/s12596-023-01234-6
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DOI: https://doi.org/10.1007/s12596-023-01234-6