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Computer Vision Course

Computer Vision Course. In the supervisions of: DR Kamel Ali Arram Eng Lamiaa. Logic Operators X-OR,X-NOR & Bitshift Operators. Prepared by Emad A.Elmotaleb Eqady. Logical XOR/XNOR. INPUT vs OUTPUT. INPUT  Binary or Grey Level Image. OUTPUT Binary or Grey Level Image.

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Computer Vision Course

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  1. Computer Vision Course In the supervisions of: DR\Kamel Ali Arram Eng\Lamiaa

  2. Logic OperatorsX-OR,X-NOR & Bitshift Operators Prepared by EmadA.ElmotalebEqady.

  3. Logical XOR/XNOR

  4. INPUT vs OUTPUT INPUT  Binary or Grey Level Image. OUTPUT Binary or Grey Level Image.

  5. truth-tables

  6. X-OR vs X-NOR The XOR function is only true if just one (and only one) of the input values is true, and false otherwise. the output values of XNOR are simply the inverse of the corresponding output values of XOR.

  7. Image 1 X-OR Or X-NOR New image image2

  8. colered Image X-OR Or X-NOR colered Image2

  9. New Image ?????????????

  10. The XOR (and similarly the XNOR) operator typically takes two binary or graylevel image as input, and outputs a third image whose pixel value are just those of the first image, XORed with the corresponding pixels from the second.

  11. How It Works Number of Bit

  12. Example X-OR

  13. Example cont X-OR

  14. Invert/Logical NOT

  15. INPUT vs OUTPUT INPUT  Binary or Grey Level Image. OUTPUT Binary or Grey Level Image.

  16. truth-table

  17. Thank you

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