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Recent literature on fast realizations of Connected Component Labeling has proposed single-pass algorithms and architectures that are particularly suited to hardware implementation. These architectures, however, impose input constraints unsuitable for real-time systems that have diverse interface specifications and bandwidth considerations. In this paper we present a streaming Connected Component...
In this study a discretized version of Cellular Neural Network (CNN) was implemented with an Hardware Description Language using forward Euler approximation. When the designs in literature were reviewed, it was seen that registers of the designs significantly affect occupied chip area. The introduced design is focused on reducing chip area by reducing register occupation while not causing design complexity...
The watershed transformation is a popular image segmentation technique for gray scale images. In this paper, we describe an implementation method of a watershed algorithm based on connected components on FPGA. In the watershed algorithm based on connected components, regular memory accesses by raster scans and irregular memory accesses using FIFO and stack are repeated. The irregular memory accesses...
A new processor architecture implementing the Discrete Time Cellular Neural Networks (DT-CNN) on FPGA is proposed. This architecture intends to process video images real time with 3times3 CNN templates and without the use of an external memory. The absence of the external memory decreases the cost and complexity of the system. The architecture is based on a single pipelined cell which is employed...
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