@article{(Open Science Index):https://publications.waset.org/pdf/12939,
	  title     = {Image Thresholding for Weld Defect Extraction in Industrial Radiographic Testing},
	  author    = {NafaĆ¢ Nacereddine and  Latifa Hamami and  Djemel Ziou},
	  country	= {},
	  institution	= {},
	  abstract     = {In non destructive testing by radiography, a perfect knowledge of the weld defect shape is an essential step to appreciate the quality of the weld and make decision on its acceptability or rejection. Because of the complex nature of the considered images, and in order that the detected defect region represents the most accurately possible the real defect, the choice of thresholding methods must be done judiciously. In this paper, performance criteria are used to conduct a comparative study of thresholding methods based on gray level histogram, 2-D histogram and locally adaptive approach for weld defect extraction in radiographic images.
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {1},
	  number    = {7},
	  year      = {2007},
	  pages     = {2033 - 2041},
	  ee        = {https://publications.waset.org/pdf/12939},
	  url   	= {https://publications.waset.org/vol/7},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 7, 2007},