@article{(Open Science Index):https://publications.waset.org/pdf/10008703,
	  title     = {Image Segmentation and Contour Recognition Based on Mathematical Morphology},
	  author    = {Pinaki Pratim Acharjya and  Esha Dutta},
	  country	= {},
	  institution	= {},
	  abstract     = {In image segmentation contour detection is one of the important pre-processing steps in recent days. Contours characterize boundaries and contour detection is one of the most difficult tasks in image processing. Hence it is a problem of fundamental importance in image processing. Contour detection of an image decreases the volume of data considerably and useless information is removed, but the structural properties of the image remain same. In this research, a robust and effective contour detection technique has been proposed using mathematical morphology. Three different contour detection results are obtained by using morphological dilation and erosion. The comparative analyses of three different results also have been done.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {11},
	  number    = {9},
	  year      = {2017},
	  pages     = {1095 - 1098},
	  ee        = {https://publications.waset.org/pdf/10008703},
	  url   	= {https://publications.waset.org/vol/129},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 129, 2017},