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First and foremost, thanks to Diego Catalano for his created algorithm libraries which has benefited many developers and programmers.

For the Object Fidelity algorithm as posted here: Is there an algorithm to detect the differences between two images? , the float results for

  • Number of Errors
  • Number of Mean-Square Errors
  • Number of Mean-Square Signal-to-Noise Errors,

how can I convert there errors to an accuracy percentage of the similarity extent between two images?

I have limited experience on image processing design and analysis and owing to this library can improve the functionality of a gallery comparison framework.

Gladly appreciate any advice or guidance. Thanks a lot!

Community
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Eric
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  • Hi Eric, this link can help you: http://stackoverflow.com/questions/21179019/how-to-compare-set-of-images-in-java-using-pixel-based-image-comparision-metric/21763781#21763781 – Diego Catalano Jan 17 '15 at 07:37
  • In the version 1.3 contains derivative signal to noise ratio in the objective fidelity. If you need to compute the differences, you just need to compute the abs(errorTotal). – Diego Catalano Jan 17 '15 at 07:38

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