Refereed full papers (journals, book chapters, international conferences)

1994

@article{SBO1994,
	vgclass =	{refpap},
	vgproject =	{nn},
	author =	{V. Srinivasan and P. Bhatia and S.H. Ong},
	title =	{Edge Detection Using A Neural Network},
	journal =	{Pattern Recognition},
	volume =	{27},
	number =	{12},
	pages =	{1653--1662},
	year =	{1994},
	abstract =	{Artificial neural networks have been shown to perform well
	in many image processing applications such as coding, pattern
	recognition and texture segmentation. In a typical multi-layer model of
	this class, neurons in each layer are linked by synaptic weights to a
	receptive field region in the layer below it. The input image itself is
	linked to the lowest layer. We propose here a two stage
	encoder-detector network for edge detection. The single layer encoder
	stage, trained in a competitive mode, compresses data from an input
	receptive field and drives a back-propagation- trained detector network
	whose two outputs represent components of an edge vector. Experimental
	results show that for the case of step edges in noisy images, the
	performance is comparable to that of the Canny detector.},
}