@article{(Open Science Index):https://publications.waset.org/pdf/13309,
	  title     = {Artificial Visual Percepts for Image Understanding},
	  author    = {Jeewanee Bamunusinghe and  Damminda Alahakoon},
	  country	= {},
	  institution	= {},
	  abstract     = {Visual inputs are one of the key sources from which
humans perceive the environment and 'understand' what is
happening. Artificial systems perceive the visual inputs as digital
images. The images need to be processed and analysed. Within the
human brain, processing of visual inputs and subsequent
development of perception is one of its major functionalities. In this
paper we present part of our research project, which aims at the
development of an artificial model for visual perception (or
'understanding') based on the human perceptive and cognitive
systems. We propose a new model for perception from visual inputs
and a way of understaning or interpreting images using the model.
We demonstrate the implementation and use of the model with a real
image data set.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {4},
	  number    = {5},
	  year      = {2010},
	  pages     = {909 - 916},
	  ee        = {https://publications.waset.org/pdf/13309},
	  url   	= {https://publications.waset.org/vol/41},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 41, 2010},
	}