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In this way, the extracted fingerprint is very robust with respect to linear and nonlinear distortion of the image

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Academic year: 2021

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In  this  work  we  propose  an  algorithm  for  content  based  image   retrieval  based  on  random  selection  of  circular  bubbles   on  the  reference  image.  More  specifically,  an  image  fingerprint   vector  is  extracted  from  the  image,  the  components  of  

which  are  simple  statistical  parameters  associated  to  the   luminance  values  in  some  selected  circular  areas  of  the  image.  

The  positions  and  radius  of  these  bubbles  result  from  a   random  selection,  with  characteristics  defined  by  the  user.  In   this  way,  the  extracted  fingerprint  is  very  robust  with  respect   to  linear  and  nonlinear  distortion  of  the  image.  Experiments   based  on  the  detection  of  various  linearly  and  nonlinearly   distorted  versions  of  a  test  image  in  a  large  database  have   shown  very  promising  results.  

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