TY - GEN
T1 - An identification algorithm for underwater vehicle infrared wake based on glcm minimum difference of entropy
AU - Wang, Haoxian
AU - Heng, Dong
AU - Li, Keyu
AU - Zhou, Zhiquan
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7
Y1 - 2018/7
N2 - In order to distinguish the underwater vehicle from the surface vehicle by their infrared thermal wakes, an identification algorithm for underwater vehicle infrared wake based on GLCM (Gray Level Co-occurrence Matrix) minimum difference of entropy is proposed. First, the infrared image is processed and the wake area is segmented, to construct the GLCM which only contains the information of the wake in the next step. Then, four GLCMs are generated by four different positional relationships of the pixel pairs. Finally, the entropy values of the GLCMs corresponding to the vertical pixel pairs (0° and 90°, 45° and 135°) are subtracted and the absolute values are normalized. The minimum value of the two values is selected for judgment. If it is less than 0.02, the wake is identified as the wake of the underwater vehicle, otherwise it is determined as the wake of the surface vehicle. Experimental results show that the algorithm proposed in this paper can effectively determine the category of infrared wakes.
AB - In order to distinguish the underwater vehicle from the surface vehicle by their infrared thermal wakes, an identification algorithm for underwater vehicle infrared wake based on GLCM (Gray Level Co-occurrence Matrix) minimum difference of entropy is proposed. First, the infrared image is processed and the wake area is segmented, to construct the GLCM which only contains the information of the wake in the next step. Then, four GLCMs are generated by four different positional relationships of the pixel pairs. Finally, the entropy values of the GLCMs corresponding to the vertical pixel pairs (0° and 90°, 45° and 135°) are subtracted and the absolute values are normalized. The minimum value of the two values is selected for judgment. If it is less than 0.02, the wake is identified as the wake of the underwater vehicle, otherwise it is determined as the wake of the surface vehicle. Experimental results show that the algorithm proposed in this paper can effectively determine the category of infrared wakes.
KW - Hermal wake
KW - Infrared exploration
KW - Infrared image processing
KW - Texture features
UR - https://www.scopus.com/pages/publications/85083516876
U2 - 10.1109/IMCCC.2018.00300
DO - 10.1109/IMCCC.2018.00300
M3 - 会议稿件
AN - SCOPUS:85083516876
T3 - Proceedings - 8th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2018
SP - 1453
EP - 1458
BT - Proceedings - 8th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2018
A2 - Li, Jun-Bao
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2018
Y2 - 19 July 2018 through 21 July 2018
ER -