@article{(Open Science Index):https://publications.waset.org/pdf/1890,
	  title     = {Quantitative Analysis of Weld Defect Images in Industrial Radiography Based Invariant Attributes},
	  author    = {N. Nacereddine and  M. Tridi and  S. S. Belaïfa and  M. Zelmat},
	  country	= {},
	  institution	= {},
	  abstract     = {For the characterization of the weld defect region in the radiographic image, looking for features which are invariant regarding the geometrical transformations (rotation, translation and scaling) proves to be necessary because the same defect can be seen from several angles according to the orientation and the distance from the welded framework to the radiation source. Thus, panoply of geometrical attributes satisfying the above conditions is proposed and which result from the calculation of the geometrical parameters (surface, perimeter, etc.) on the one hand and the calculation of the different order moments, on the other hand. Because the large range in values of the raw features and taking into account other considerations imposed by some classifiers, the scaling of these values to lie between 0 and 1 is indispensable. The principal component analysis technique is used in order to reduce the number of the attribute variables in the aim to give better performance to the further defect classification.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {1},
	  number    = {2},
	  year      = {2007},
	  pages     = {485 - 488},
	  ee        = {https://publications.waset.org/pdf/1890},
	  url   	= {https://publications.waset.org/vol/2},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 2, 2007},
	}