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Denoted the Timing Vertex Detector (TVD), it consists of a binary pixel array, a transmission line for signal collection, and a readout ASIC.
In the implementation of inverse halftoning using Gaussian filtering, the binary pixel value 0 and 1 in the input halftone image will be regarded as 0 and 255, respectively.
In this context we develop high-efficiency readout architectures for large binary pixel matrices that are meant to cope with the high-stressing conditions foreseen in the innermost layers of a tracker [The SuperB Conceptual Design Report, INFN/AE-07/02, SLAC-R-856, LAL 07-15, Available online at: http://www.pi.infn.it/SuperB].it/SuperB]
In this context we propose a high-efficiency digital readout architecture for large binary pixel matrices that is meant to cope with high hit-rates, up to 100 MHz/cm2, foreseen in the innermost tracker layer of the new generation particle accelerators.
For each spot, depending on the region of interest (nuclear or whole-cell) for the given probe, either the image of the nuclear label or the one of the immunolabel was background corrected and converted to a binary pixel mask.
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The results showed that reading is possible with as few as 6 × 6 binary pixels, at 15 words/min.
Shaping the amplitude distribution is easy, one way is by a photographic plate, another way is by binary pixels as used in "half-tone printing".
Clusters of binary pixels define the subapertures of the image plane and direct a small portion of the image onto a detector.
In contrast to DWE, which is observed due to binary pixels not toggling in enough numbers in response to a changing scene, flicker is typically observed due to too many binary pixels toggling their values in spatial areas that do not exhibit "significant" perceptual change between successive (continuous-tone) frames.
Using (V_F) as a 7-block of 7 binary pixels, we can apply the method mentioned in Example 1 to embed any 3-bit string (d = d_3d_2d_1) in (V_F) by changing at most one place, say (p_k) in (V_F).
In order to construct the 3D numerical model, a multi-thresholding segmentation method and a self-developed computer program (Ju et al. 2013, 2014b) were used to enhance and digitize the original images into binary pixels of gray and white that represented matrix and gravel, respectively.
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