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The first CNN technology-based, high performance industrial visual computer called Aladdin is reported. The revolutionary device is the world premier of the ACE4k Cellular Visual Microprocessor (CVM) chip powering an industrial visual computer. One of the most important features of the Aladdin system is the image processing library. The library reduces(More)
In this paper, we develop a common cellular neural network framework for various adaptive nonlinear filters based on robust statistic and geometry-driven diffusion paradigms. The base models of both approaches are defined as difference-controlled nonlinear CNN templates while the self-adjusting property is ensured by simple analogic (analog and logic) CNN(More)
A bio-inspired model for an analog programmable array processor (APAP), based on studies on the vertebrate retina, has permitted the realization of complex programmable spatio-temporal dynamics in VLSI. This model mimics the way in which images are processed in the visual pathway, what renders a feasible alternative for the implementation of early vision(More)
In this paper, a vertebrate retina model is described based on a cellular neural network (CNN) architecture. Though largely built on the experience of previous studies ([31]-[34], [36]-[39], [41]) the CNN computational framework is considerably simplified: first order RC cells are used with space-invariant nearest neighbor interactions only. All nonlinear(More)
In this paper, a CNN based spatio-temporal approach is introduced for finding the endocardial (inner) boundary of the left ventricle from a sequence of echocardiographic images. The discussed analogic 1 CNN algorithm combines optimal nonlinear filtering and constrained wave propagation in order to estimate the continuous contour of a moving object in a(More)
This paper describes a full-custom mixed-signal chip that embeds digitally programmable analog parallel processing and distributed image memory on a common silicon substrate. The chip was designed and fabricated in a standard 0.5µm CMOS technology and contains approximately 500,000 transistors. It consists of 1024 processing units arranged into a 32×32(More)
In this paper, a vertebrate retina model is described based on a cellular neural network (CNN) architecture. Though largely built on the experience of previous studies ([5], [11], [14]-[15], [17]-[18]) the CNN computational framework is considerably simplified: first order RC cells are used with space-invariant nearest neighbor interactions only. All(More)