Author(s): ZHOU Xian, LIU Yilun, GONG Haifei
Pages: 37-40
Year: 2005 Issue:  2
Journal: Journal of Xiangtan Mining Institute
Keyword:  carbon produce; X-ray image; wavelet transforms; edge detection; local maxima;
Abstract: Regarding the effectiveness problems of classical edge detection algorithm on X-ray noise image of carbon material,an multi-scale local maxima edge detection algorithm based on wavelet transforms was advanced.The method made the best of the advantage of time-frequency localization of wavelet transforms,the characteristics that local maxima,and direction of edge points and noise points take on in different scale.Firstly,wavelet enhancement was made on the image by the sake of improve the image quality,based on this,the optimal edge detection filter(wavelet base) and scale were confirmed,wavelet multi-scale local maxima algorithm was described,then,the algorithm and classical operator was compared.The result of experiment shows that the method excel classical operator,it establish well foundation for pattern recognition.3figs.,15refs.