Diagnosis of Aviation Engine Endoscope Damage Based on A New Fuzzy Connectedness
This paper introduces the aviation engine endoscope detection system, applying the image segmentation technique for processing the endoscope pictures, presenting a novel fuzzy connectedness image segmentation algorithm, achieving the separation of the effective area and background region in images; Using the method of thinning can access to the characteristics information of the engine damage, integrating expert system assessment establish the damage diagnosis system. The results show that the algorithm can control the noise better and split into effective area accurately, with a strong practical value.
Endoscope Detection Image Segmentation Fuzzy Connectedness Fault Diagnosis
Yunlin Luo Yilong Zhang
Aeronautical Automation College, Civil Aviation University of China, Tianjin, 300300
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
3900-3904
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）