Title :
Arc image enhancement based on pattern matching
Author :
Li, Xin-fu ; Liu, Jiao-min
Author_Institution :
Fac. of Math. & Comput. Sci., Hebei Univ., Baoding, China
Abstract :
In the process of switching arc image acquisition, because of the strong radiation of arc, the weak reflection of contacts and the shake of apparatus due to the impact of mechanical motion, the arc image was polluted by noise. The weak feature of the contacts and chamber cannot be observed clearly. In order to enhance the weak feature, a method based on gray level transformation and pattern matching was introduced. Contact pattern was extracted from image without arc by using Canny operator. Contacts region was located by pattern matching. The weak contact region was enhanced by using gray level transform method. Experimental results show that the processed image with a good vision effect was obtained.
Keywords :
feature extraction; image enhancement; image resolution; mathematical operators; pattern matching; Canny operator; arc image enhancement; feature extraction; gray level transformation; image resolution; pattern matching; switching arc image acquisition; Charge coupled devices; Charge-coupled image sensors; Circuits; Image enhancement; Image resolution; Lamps; Lenses; Low voltage; Pattern matching; Shape;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1384543