RESUMO
An optoelectronic architecture for morphological image processing is presented. The architecture uses the pipelining principle, with its stages being implemented by use of optical fiber-based programmable logic arrays. These arrays are characterized by their high fan-in and fan-out factors, which make them suitable for implementing morphological operations with large structuring elements without decomposition. The pipeline has fewer stages and clock skew can be avoided, thus making the use of higher clock speeds and throughputs possible.
RESUMO
An optoelectronic implementation for the morphological watershed transform is proposed. Fiber-optic programmable logic arrays are used in the implementation because of their high fan factors at high clock speeds. Image segmentation is one of the main applications of the watershed transform. Based on the optoelectronic implementation, an algorithm for the segmentation of axial magnetic resonance (MR) head images to extract information on brain matter is presented. Simulation results for the different steps of the segmentation process are presented.
RESUMO
Architectural considerations for a multiple-instruction, single-data-based optoelectronic central processing unit operating at 10(7) instructions per second are detailed. Central to the operation of this device is a giant fiber-optic content-addressable memory in a programmable logic array configuration. The design includes four instructions and emphasizes the fan-in and fan-out capabilities of optical systems. Interconnection limitations and scaling issues are examined.
RESUMO
The use of a digital integrated optical convolver for real-time signal-processing applications is proposed and analyzed. In this approach a series of time-delayed signals is applied to a large group of individually addressable electro-optic Bragg gratings. The delays are adjusted to provide the digital equivalent to a variable-wavelength traveling index wave. A modification of the theory of analog Bragg diffraction is developed that includes the effects of discrete spatial sampling in the convolution and correlation process. The theory is extended to include both continuous-time and sampled-time inputs.
RESUMO
A hybrid integrated optical threshold logic element is proposed for fast digital computation on a chip level. Each input and output optical beam occupies a separate channel and is coupled directly to the source. This suggests the possibility of achieving reliable optical digital operation in a complex network. Such a network is expected to be particularly compact because one or several threshold logic elements may replace many simple optical logic elements. The devices are also capable of high-speed programmability, so the same set of elements can serve different functions. Applications to conventional arithmetic computation and to high-speed residue arithmetic computation are presented.
