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Development of Electro-Optics characterization tools with MATLAB Environment

Development of Electro-Optics characterization tools with MATLAB Environment. Elad Gross, Characterization team Elbit Systems LTD. Agenda. Background Development Process Characterization What is Uniformity? Uniformity @ Dark Photo Response Calibration Final Characterization

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Development of Electro-Optics characterization tools with MATLAB Environment

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  1. Development of Electro-Optics characterization tools with MATLAB Environment Elad Gross, Characterization team Elbit Systems LTD.

  2. Agenda • Background • Development Process • Characterization • What is Uniformity? • Uniformity @ Dark • Photo Response • Calibration • Final Characterization • Conclusions

  3. Main Locations in Israel • Employees in Israel • 10,000 Company Employees • (in over 15 sites) • 7,500 Subcontractors Land & C4I- Tadiran Aero Structures- Cyclone Aircraft Landing Field Karmiel (Production Center) OPGAL (Electro-Optics) HQ Aerospace UAV Systems Land & C4I- Tadiran Soltam Q. Shmona Land & C4I- Tadiran Karmiel Haifa Ezraeli Bldg. Yokneam Netanya Land & C4I- Tadiran ELISRA Raanana ת"א Rosh Haayn SCD Electro-Optics UAV Systems BG Airport (Semi-Conductor Devices) Holon Landing Field Meggido Simulators Ashdod SecuritySystems BVR Rechovot Shderot Kinetics Arad Branch Arad Hatserim ELISRA Mitzpe Ramon

  4. Sensor & Camera

  5. Electro-Magnetic Spectrum and Technologies  Transmission [%] SWIR LWIR MWIR VNIR  [µm] 3 – 5 µm Cooled InSb 8 – 14 µm microbolometrs VOx/α-Si 0.4 – 1.1 µm CMOS 0.9 – 1.7 µm InGaAs

  6. Camera Development Process Development process

  7. Characterization • Characterizations • Uniformity • MTF • Distortion • Low light laboratory • Image processing • Non Uniformity Correction (NUC) • Noise reduction • Bad pixel replacement • Automatic Expose Control (AEC) • Histogram stretching • Color correction • High dynamic range • Fusion

  8. Dark & Light Images • Full MATLAB control • Easy to use • Creating Graphical User Interface (GUI) • Platform independence • The Ability to modify the MATLAB code in the Image Processing Toolbox to your own needs. High spatial uniformity

  9. AVG STD Images • Ability to process both: still images and live video. • Simultaneously computation of the AVG and STD images. • Very convenience for matrix manipulations.

  10. What is Uniformity? • Each pixel produces the same result when given same stimulation.

  11. Uniformity @ Dark Row pattern • Vignetting- Low spatial frequencies • Column pattern: higher spatial frequencies Column pattern

  12. Photo Response Reading each image only once-save memory problems.

  13. Calibrations Before • Reading a wide variety of image formats. • Immediate algorithm test without recompilations. After

  14. Calibrations

  15. Weighted Correction Residual Non-Uniformity (RNU): a figure of merit of Post non-uniformity correction.

  16. Calibration-example Defect rows are fixed either! Live Movie

  17. Final Characterization Ability to call or read external files such as XMLs Data Analysis and Statistics Ability to auto-generate C code, using MATLAB Coder, or MATLAB application, using MATLAB Compiler

  18. Conclusions • MATLAB in each stage of the development process. • MATLAB advantages • modified algorithms • Quick GUI • variety of image formats • External files (XML, XLS, TXT, INI ,CSV etc.). • Assembled with electro-optical test station using MATLAB compiler.

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