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 :
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