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The partial reconfigurability of FPGAs allows real-time systems to adapt to changing application requirements. However, the additional time and power needed for partial reconfiguration as well as the sequential reconfiguration process degrade the overall system performance. This is considered as one of the main reasons for restricted use of partial reconfiguration technology. In addition, hardware...
In this paper, we present a fast implementation of the vector directional distance filter (VDDF) for noise suppression and fine-details preservation in color image, based on FPGA hardware/software (HW/SW) environment. For the ease of implementation, we have proposed some approximations. An efficient hardware implementation is developed to acquire best execution time. After validation, using NiosII...
The stable Euler-Number based image binarization gives excellent visual results for video frames containing high amount of image noise. Being computationally expensive, its implementations are limited to general purpose processors for the most cost-effective solution or in application specific integrated circuits for maximum performance. This paper proposes a modified stable Euler-number based algorithm...
A critical step in fingerprint recognition is to skeletonize the fingerprint image for minutiae extraction, which is recognized as "thinning" in image processing. The speed and reliability of the thinning process are important for the whole fingerprint identification system. In this paper, to accelerate the thinning process, a fast hardware thinning algorithm is implemented on the Xilinx...
Current image sensors offer a raw output that incorporates a bayer color filter pattern, and additional processing is required to obtain a full color image. This paper presents a bilinear interpolation algorithm to demosaick images with bayer color pattern; the algorithm is implemented in a single field programmable gate array (FPGA) device using a pipelined architecture. A comparison between images...
Video microscopic platforms have been developed to capture cell dynamics, such as cell velocity, in real-time to quantify and usefully leverage the electro kinetic response of cells to electric fields. The first and critical task in a cell motion detection algorithm is the computationally demanding segmentation process, where a static cell boundary aids grouping the cell regions and thereby identifying...
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