• Non ci sono risultati.

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

N/A
N/A
Protected

Academic year: 2021

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

Copied!
1
0
0

Testo completo

(1)

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.  

Riferimenti

Documenti correlati

 In  view  of  the  SU(3)  symmetry,  the  zero.. level Lagrangian density should have the SU(3) invariant

In detail, we analyze the efficacy measured as application timeto-solution of power capping to maintain the same power budget using i RAPL controller and ii a simple fixed

Previous studies 166 demonsti·ated that mechanisms responsible to resistance includes specific mutations within blaKPc 167 gene and that emerged after ceftazidime/avibactam

The former consisted in the absolute phase measurement of a voltage, with respect to the cosine waveform with positive peak aligned with the PPS signal (see Fig. The

The use of monotonicity methods to study unique con- tinuation properties of solutions to elliptic partial differential equations dates back to the pioneering paper by Garofalo and

There is a characterization of outerplanar graphs that says a graph is outerplanar if and only if it does not contain a subdivision of the complete graph K 4 or the complete

We study the nonlinear Neumann problem (1) involving a critical Sobolev expo- nent and a nonlinearity of lower order... The assumption (f 1 ) replaces the usual