@article{(Open Science Index):https://publications.waset.org/pdf/10009909,
	  title     = {A Review on Image Segmentation Techniques and Performance Measures},
	  author    = {David Libouga Li Gwet and  Marius Otesteanu and  Ideal Oscar Libouga and  Laurent Bitjoka and  Gheorghe D. Popa},
	  country	= {},
	  institution	= {},
	  abstract     = {Image segmentation is a method to extract regions of interest from an image. It remains a fundamental problem in computer vision. The increasing diversity and the complexity of segmentation algorithms have led us firstly, to make a review and classify segmentation techniques, secondly to identify the most used measures of segmentation performance and thirdly, discuss deeply on segmentation philosophy in order to help the choice of adequate segmentation techniques for some applications. To justify the relevance of our analysis, recent algorithms of segmentation are presented through the proposed classification.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {12},
	  number    = {12},
	  year      = {2018},
	  pages     = {1107 - 1117},
	  ee        = {https://publications.waset.org/pdf/10009909},
	  url   	= {https://publications.waset.org/vol/144},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 144, 2018},
	}