Image Anomaly Detection Based on Adaptive Iteration and Feature Extraction in Edge-Cloud IoT

Algorithm 1

The proposed adaptive iterative algorithm.

Input:

: the tested image;

: the maximum number of iteration;

: algorithm termination threshold;

Obtaining the candidate tampering area using formula (1);

whiledo

  PCT feature extraction, PM matching and dense linear filtering;

  corrosion;

  expansion;

 ;

  PCT feature extraction, PM matching and dense linear filtering;

 ;

  morphology open operation;

 ifthen

  //calculate the first derivative;

  ifthen

   break;

  end if

 end if

 ;

end while

Output: the tamper localization .