@article{(Open Science Index):https://publications.waset.org/pdf/10867,
	  title     = {Dual Pyramid of Agents for Image Segmentation},
	  author    = {K. Idir and  H. Merouani and  Y. Tlili.},
	  country	= {},
	  institution	= {},
	  abstract     = {An effective method for the early detection of breast
cancer is the mammographic screening. One of the most important
signs of early breast cancer is the presence of microcalcifications. For
the detection of microcalcification in a mammography image, we
propose to conceive a multiagent system based on a dual irregular
pyramid.
An initial segmentation is obtained by an incremental approach;
the result represents level zero of the pyramid. The edge information
obtained by application of the Canny filter is taken into account to
affine the segmentation. The edge-agents and region-agents cooper
level by level of the pyramid by exploiting its various characteristics
to provide the segmentation process convergence.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {1},
	  number    = {6},
	  year      = {2007},
	  pages     = {1809 - 1812},
	  ee        = {https://publications.waset.org/pdf/10867},
	  url   	= {https://publications.waset.org/vol/6},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 6, 2007},
	}