Subpixel Resolution Edge Detection Techniques for Linear Sensor Arrays

Christian Mentin, Eugen Brenner

Research output: Contribution to conference(Old data) Lecture or PresentationResearchpeer-review

Abstract

The precise and very fast contactless measurement
of object surfaces and edges with sub-micrometer resolution plays
an important role in many applications nowadays. Optical highprecision
measuring devices are used for that purpose. The use of
narrowband point light sources for exposing an object generates a
diffraction pattern, which can be seen by a sensor. To achieve a
much higher resolution than the pixel size of the detector, that
additional information generated by this diffraction pattern can
be used. Different algorithms for estimating the projected edge
position with sub-pixel resolution using additional diffraction
pattern information were evaluated. With a modelled image
sensor pixel size of 3.8 μm, results showed that a prediction error
for the theoretical projected edge position on the sensor of less
than 200 nm could be achieved. The influence of measurement
noise, pixel size, and ADC resolution of the pixel exposure value
are discussed for the presented algorithms.

Conference

ConferenceInternational Conference on Broadband Communications for Next Generation Networks and Multimedia Applications
Abbreviated titleCoBCom
CountryAustria
CityGraz
Period14/09/1616/09/16
Internet address

Fingerprint

Sensor arrays
Edge detection
Pixels
Diffraction patterns
Sensors
Image sensors
Light sources
Detectors

Keywords

  • High-resolution imaging
  • Optical diffraction
  • Algorithm design and analysis
  • Image edge detection
  • Image sensors

Cite this

Mentin, C., & Brenner, E. (2016). Subpixel Resolution Edge Detection Techniques for Linear Sensor Arrays. International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications, Graz, Austria.

Subpixel Resolution Edge Detection Techniques for Linear Sensor Arrays. / Mentin, Christian; Brenner, Eugen.

2016. International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications, Graz, Austria.

Research output: Contribution to conference(Old data) Lecture or PresentationResearchpeer-review

Mentin, C & Brenner, E 2016, 'Subpixel Resolution Edge Detection Techniques for Linear Sensor Arrays' International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications, Graz, Austria, 14/09/16 - 16/09/16, .
Mentin C, Brenner E. Subpixel Resolution Edge Detection Techniques for Linear Sensor Arrays. 2016. International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications, Graz, Austria.
Mentin, Christian ; Brenner, Eugen. / Subpixel Resolution Edge Detection Techniques for Linear Sensor Arrays. International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications, Graz, Austria.6 p.
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AB - The precise and very fast contactless measurementof object surfaces and edges with sub-micrometer resolution playsan important role in many applications nowadays. Optical highprecisionmeasuring devices are used for that purpose. The use ofnarrowband point light sources for exposing an object generates adiffraction pattern, which can be seen by a sensor. To achieve amuch higher resolution than the pixel size of the detector, thatadditional information generated by this diffraction pattern canbe used. Different algorithms for estimating the projected edgeposition with sub-pixel resolution using additional diffractionpattern information were evaluated. With a modelled imagesensor pixel size of 3.8 μm, results showed that a prediction errorfor the theoretical projected edge position on the sensor of lessthan 200 nm could be achieved. The influence of measurementnoise, pixel size, and ADC resolution of the pixel exposure valueare discussed for the presented algorithms.

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