IEEE Transactions on Circuits and Systems II, Vol 45, Number 12, December 1998, pages 1564-1572

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Abstract:

An object-based analog VLSI model of selective attentional processing has been implemented using a standard 2.0 um process.  This chip extends previous work on modeling a saliency-map-based selection and scanning mechanism to  incorporate the ability to group pixels into objects.  This grouping or segmentation, couples the circuitry of the object's pixels to act as a single, larger pixel. the grouping of pixels is dynamic, driven solely by the segmentation criterion at the input.  In this demonstration circuit, image intensity has been chosen for the input saliency map and the segmentation is based on spatial lowpass filtering followed by an intensity threshold.  We present experimental results from a one-dimensional implementation of the object-based analog VLSI selective-attention system.