Infrared small-target detection under a complex background based on a local gradient contrast method

• Autorzy: Yang Linna , Xie Tao , Liu Mingxing , Zhang Mingjiang , Qi Shuaihui , Yang Jungang

Identyfikatory

DOI

10.34768/amcs-2023-0003

• Języki publikacji: EN

Abstrakty

EN

Small target detection under a complex background has always been a hot and difficult problem in the field of image processing. Due to the factors such as a complex background and a low signal-to-noise ratio, the existing methods cannot robustly detect targets submerged in strong clutter and noise. In this paper, a local gradient contrast method (LGCM) is proposed. Firstly, the optimal scale for each pixel is obtained by calculating a multiscale salient map. Then, a subblockbased local gradient measure is designed; it can suppress strong clutter interference and pixel-sized noise simultaneously. Thirdly, the subblock-based local gradient measure and the salient map are utilized to construct the LGCM. Finally, an adaptive threshold is employed to extract the final detection result. Experimental results on six datasets demonstrate that the proposed method can discard clutters and yield superior results compared with state-of-the-art methods.

Słowa kluczowe

EN

small target detection; local gradient contrast; visual saliency; infrared image processing

PL

kontrast lokalny; wyróżnienie wizualne; obrazowanie w podczerwieni

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2023
• Tom: Vol. 33, no. 1
• Strony: 33--43
• Opis fizyczny: Bibliogr. 30 poz., rys., tab., wykr.

Twórcy

autor

Yang Linna

• College of Information and Communication, National University of Defense Technology, No. 618 Yanhe Avenue, Qiaokou District, 430030 Wuhan City, China

autor

Xie Tao

• College of Information and Communication, National University of Defense Technology, No. 618 Yanhe Avenue, Qiaokou District, 430030 Wuhan City, China

autor

Liu Mingxing

• College of Information and Communication, National University of Defense Technology, No. 618 Yanhe Avenue, Qiaokou District, 430030 Wuhan City, China

autor

Zhang Mingjiang

• College of Information and Communication, National University of Defense Technology, No. 618 Yanhe Avenue, Qiaokou District, 430030 Wuhan City, China

autor

Qi Shuaihui

• College of Information and Communication, National University of Defense Technology, No. 618 Yanhe Avenue, Qiaokou District, 430030 Wuhan City, China

autor

Yang Jungang

• College of Information and Communication, National University of Defense Technology, No. 618 Yanhe Avenue, Qiaokou District, 430030 Wuhan City, China

Bibliografia

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Uwagi

PL

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)