2012 IEEE International Symposium on Circuits and Systems 2012
DOI: 10.1109/iscas.2012.6271683
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FPGA-based machine vision implementation for Lab-on-Chip flow detection

Abstract: This paper presents an FPGA-based machine vision implementation for flow detection on Lab-on-Chip (LoC) experiments. The proposed machine vision system is designed to provide real-time information to the LoC user about the state of the flows (flow coordinates and points of interest) as well as input to the LoC controller. It is uniquely designed to compensate noise in the input video originating from non ideal lighting conditions or LoC movement. This machine vision implementation achieves real time response f… Show more

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Cited by 7 publications
(2 citation statements)
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“…The flow detection modules and the median calculation module were published in [96] and [142]. The complete machine vision system was published in [120] and [88].…”
Section: Thesis Contributionmentioning
confidence: 99%
See 1 more Smart Citation
“…The flow detection modules and the median calculation module were published in [96] and [142]. The complete machine vision system was published in [120] and [88].…”
Section: Thesis Contributionmentioning
confidence: 99%
“…Therefore a different approach was chosen: using two hysteresis passes on a single frame, but the second hysteresis pass would be on a reversed order of pixels (Figure 3.12). The double hysteresis pass approach was used in the preliminary version of the machine vision system [88].…”
Section: Explorationmentioning
confidence: 99%