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Noises are inevitably introduced in digital image acquisition processes, and thus image denoising is still a hot research problem.
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New research opportunities are occurring in machine vision because new types of image processing algorithms are required that not only influence the image acquisition process but are also capable of exploiting novel imaging modalities.
Most of the imaging time was for tooth positioning; the image acquisition process was then quick.
As described earlier in the text, electron microscopy images are inherently noisy owing to variations in the samples (e.g. different age), in the manual processing steps and in the image acquisition process.
This increased flexibility in the image acquisition process prompted the inclusion of the hyper-spectral imaging systems in the development of a wide variety of computer vision systems, such as video surveillance, food inspection, medical imaging, remote sensing, and material classification [2 4].
This will provide a common description of the entire working flow ranging from image analysis to image acquisition process and represent a practical way to transparently reference imaging data to the biofilm community (publications, presentations etc).
The system starts with the image acquisition process, where the system selects images from the image's folder for further processing.
The coprocessor architecture has been designed so as to obtain a unit that can be configured on the fly, in terms of type and number of chained processing stages (up to 8 successive predefined preprocessing stages), during the image acquisition process that can be defined by the user according to each specific application requirement.
Unfortunately, the scanner produces acoustic noise during the image acquisition process.
The major defects that appear in CT image acquisition process are Beam Hardening (BH), image noise and radiation dose.
The image acquisition process, modelled by a finite state machine, was implemented in LabVIEW to control the spectral imaging system to collect hyperspectral or multispectral images.
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