Hardware Implementation and Feature Localization for Near-Infrared Cameras Calibration

The Near-Infrared Camera(NIRC) is insensitive to the visible light spectrum. The lack of corresponding calibration device and extraction method of the feature points limit its application. Based on this, We design a near-infrared calibration device by attaching LEDs to the printed circuit board through Surface Mounted Technology(SMT). However, near-infrared LEDs generate scattering halos when powered on, so we improved this adverse effect by applying a Gaussian Convolution Kernel. Then, we detected subpixel edges of the feature points based on Zernike Moment. Finally, we perform ellipse fitting on subpixel edges to obtain more accurate center coordinates of the feature points.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/ichci63580.2024.10808043
Primary Topic
Infrared Target Detection Methodologies
Type
article
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article

Hardware Implementation and Feature Localization for Near-Infrared Cameras Calibration

Hesong Jiang, Xueyuan Wang, Rui Ma, Yuchuan Tao
Infrared Target Detection Methodologies
article

Hardware Implementation and Feature Localization for Near-Infrared Cameras Calibration

Hesong Jiang, Xueyuan Wang, Rui Ma, Yuchuan Tao
article en

Abstract

The Near-Infrared Camera(NIRC) is insensitive to the visible light spectrum. The lack of corresponding calibration device and extraction method of the feature points limit its application. Based on this, We design a near-infrared calibration device by attaching LEDs to the printed circuit board through Surface Mounted Technology(SMT). However, near-infrared LEDs generate scattering halos when powered on, so we improved this adverse effect by applying a Gaussian Convolution Kernel. Then, we detected subpixel edges of the feature points based on Zernike Moment. Finally, we perform ellipse fitting on subpixel edges to obtain more accurate center coordinates of the feature points.

Southwest University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 59%
Infrared Target Detection Methodologies
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