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CMOS-Based Radiation Movie and Still Image Pickup System with a Phototimer Using Smart Pattern Recognition

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Knowledge-Based and Intelligent Information and Engineering Systems (KES 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6278))

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Abstract

Radiation imaging systems are used in biology, medicine, industry, high-energy physics, and et ceteras application. However, it has been highly difficult to realize a radiation digital image pickup device that is adapted to show a moving image with a high resolution if it is made to show reduced dimensions at low cost. CMOSs can advantageously be used for the photoelectric converters. CMOSs are adapted to show a moving image with a high resolution and, at the same time, can be made to show reduced dimensions at low cost. Therefore, we propose a CMOS-based radiation movie and still image pickup device. Next we propose a phototimer for the device. The radiation image pickup system includes a phototimer using pattern recognition for X-ray emission. The system is able to recognize a pattern image of interest by allowing radiation from an X-ray source to pass through a object. The phototimer signal can be obtained from the image recognition unit by non-destructive reading in the image sensing operation. The radiation image pickup system can easily and accurately perform optimal exposure. Finally the system could obtain a high-quality image without any deterioration in S/N characteristics.

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© 2010 Springer-Verlag Berlin Heidelberg

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Yuuki, O., Mineno, H., Yamada, K., Mizuno, T. (2010). CMOS-Based Radiation Movie and Still Image Pickup System with a Phototimer Using Smart Pattern Recognition. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science(), vol 6278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15393-8_60

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  • DOI: https://doi.org/10.1007/978-3-642-15393-8_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15392-1

  • Online ISBN: 978-3-642-15393-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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