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A Novel Filtering-Based Detection Method for Small Targets in Infrared Images

Sanxia Shi, Yinglei Song*

School of Automation, Jiangsu University of Science and Technology, Zhenjiang, 212001, China

* Corresponding Author: Yinglei Song. Email: email

Computers, Materials & Continua 2024, 81(2), 2911-2934. https://doi.org/10.32604/cmc.2024.055363

Abstract

Infrared small target detection technology plays a pivotal role in critical military applications, including early warning systems and precision guidance for missiles and other defense mechanisms. Nevertheless, existing traditional methods face several significant challenges, including low background suppression ability, low detection rates, and high false alarm rates when identifying infrared small targets in complex environments. This paper proposes a novel infrared small target detection method based on a transformed Gaussian filter kernel and clustering approach. The method provides improved background suppression and detection accuracy compared to traditional techniques while maintaining simplicity and lower computational costs. In the first step, the infrared image is filtered by a new filter kernel and the results of filtering are normalized. In the second step, an adaptive thresholding method is utilized to determine the pixels in small targets. In the final step, a fuzzy C-mean clustering algorithm is employed to group pixels in the same target, thus yielding the detection results. The results obtained from various real infrared image datasets demonstrate the superiority of the proposed method over traditional approaches. Compared with the traditional method of state of the arts detection method, the detection accuracy of the four sequences is increased by 2.06%, 0.95%, 1.03%, and 1.01%, respectively, and the false alarm rate is reduced, thus providing a more effective and robust solution.

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APA Style
Shi, S., Song, Y. (2024). A novel filtering-based detection method for small targets in infrared images. Computers, Materials & Continua, 81(2), 2911-2934. https://doi.org/10.32604/cmc.2024.055363
Vancouver Style
Shi S, Song Y. A novel filtering-based detection method for small targets in infrared images. Comput Mater Contin. 2024;81(2):2911-2934 https://doi.org/10.32604/cmc.2024.055363
IEEE Style
S. Shi and Y. Song, “A Novel Filtering-Based Detection Method for Small Targets in Infrared Images,” Comput. Mater. Contin., vol. 81, no. 2, pp. 2911-2934, 2024. https://doi.org/10.32604/cmc.2024.055363



cc Copyright © 2024 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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