DocumentCode
2841744
Title
The application of one improved segmentation technology in the aero-engine endoscope detection
Author
Luo, Yunlin ; Zhang, Xiaowei
Author_Institution
Aeronaut. Autom. Coll., Civil Aviation Univ. of China, Tianjin, China
fYear
2010
fDate
26-28 May 2010
Firstpage
3886
Lastpage
3890
Abstract
This paper is based on the method of clustering technology, proposed a simple and effective method for color image segmentation. Using the color image segmentation techniques and morphological post-processing techniques in the target search and segmentation process. We proposed a rejection clustering method to the extraction of the target. The result of the experiment that this paper proposed has proven its effectiveness, and can be better used in aviation engine´s endoscope detection.
Keywords
aerospace computing; aerospace engines; aircraft maintenance; image colour analysis; image segmentation; pattern clustering; aero-engine endoscope detection; color image segmentation technology; morphological post-processing technique; rejection clustering method; Aircraft propulsion; Automation; Clustering methods; Color; Concrete; Educational institutions; Endoscopes; Engines; Image segmentation; Pixel; Endoscope Detection; Image Segmentation; Pixel Technology; Rejection Clustering;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location
Xuzhou
Print_ISBN
978-1-4244-5181-4
Electronic_ISBN
978-1-4244-5182-1
Type
conf
DOI
10.1109/CCDC.2010.5498469
Filename
5498469
Link To Document