التفاصيل البيبلوغرافية
| العنوان: |
Underwater targets recognition based on contour moment and modified FCM algorithm. |
| المؤلفون: |
WANG Shi-long1, XU Yu-ru1, WAN Lei1, TANG Xu-dong1 |
| المصدر: |
Xitong Gongcheng Lilun yu Shijian (Systems Engineering Theory & Practice). dec2012, Vol. 32 Issue 12, p2809-2815. 7p. |
| مصطلحات موضوعية: |
*AUTONOMOUS underwater vehicles, *ROBUST control, *FUZZY systems, *ALGORITHMS, *UNDERWATER equipment |
| مستخلص: |
The underwater targets recognition is the key to the dynamic perception of the environment, fast location and visual target tracking of autonomous underwater vehicle (AUV). To eliminate the negative effects, which are brought by the particularity and complexity of imaging environment, this paper presents a rapid and accurate target recognition system for AUV to use the obtained result for the next task. Firstly, an efficient contour segmentation algorithm is given by the integrated application of some popular algorithm. Secondly, affine transformation invariants which is constant to image translation, rotation and scaling are constructed through the analysis and modification of the contour moment. Lastly, the design idea of a modified FCM clustering recognition is discussed in detail. Experiments of underwater target recognition are made on four types of actual targets prove that the recognition system can be applied to underwater object detection and have the relatively high robustness and real-time effectiveness. [ABSTRACT FROM AUTHOR] |
| قاعدة البيانات: |
Academic Search Index |