TY - GEN
T1 - An Improved TLLCM Infrared Small Target Detection Method Based on Difference of Gaussians
AU - Wang, Haochen
AU - Peng, Xiwei
AU - Bai, Yuxin
AU - Zheng, Shuhua
N1 - Publisher Copyright:
© 2025 Technical Committee on Control Theory, Chinese Association of Automation.
PY - 2025
Y1 - 2025
N2 - Small target detection has great theoretical significance in the field of infrared (IR). Local contrast measure (LCM) has shown commendable performance in infrared small target detection. However, existing LCM methodologies primarily emphasize the background suppression rate, which leads to a decline in detection accuracy. In this paper, an enhanced algorithm based on the framework of Tri-layer LCM(TLLCM) is introduced, which incorporates the Difference of Gaussians (DoG) algorithm and morphological filtering operations. The proposed algorithm demonstrates an improvement in both Precision and Recall metrics, while preserving the low false alarm rate advantage inherent to TLLCM. On dataset IRSTD-1k, proposed method achieves BSF of 1934.61, SCRG of 27.74, Precision rate of 0.52 and Recall rate of 0.64.
AB - Small target detection has great theoretical significance in the field of infrared (IR). Local contrast measure (LCM) has shown commendable performance in infrared small target detection. However, existing LCM methodologies primarily emphasize the background suppression rate, which leads to a decline in detection accuracy. In this paper, an enhanced algorithm based on the framework of Tri-layer LCM(TLLCM) is introduced, which incorporates the Difference of Gaussians (DoG) algorithm and morphological filtering operations. The proposed algorithm demonstrates an improvement in both Precision and Recall metrics, while preserving the low false alarm rate advantage inherent to TLLCM. On dataset IRSTD-1k, proposed method achieves BSF of 1934.61, SCRG of 27.74, Precision rate of 0.52 and Recall rate of 0.64.
KW - Difference Of Gaussians
KW - Infrared Small-Target Detection
KW - Local Contrast Measure
KW - Morphological Filtering
KW - Tri-layer Window
UR - https://www.scopus.com/pages/publications/105020284116
U2 - 10.23919/CCC64809.2025.11178458
DO - 10.23919/CCC64809.2025.11178458
M3 - Conference contribution
AN - SCOPUS:105020284116
T3 - Chinese Control Conference, CCC
SP - 7552
EP - 7557
BT - Proceedings of the 44th Chinese Control Conference, CCC 2025
A2 - Sun, Jian
A2 - Yin, Hongpeng
PB - IEEE Computer Society
T2 - 44th Chinese Control Conference, CCC 2025
Y2 - 28 July 2025 through 30 July 2025
ER -