Bildersuche nach semantischen Merkmalen
Die inhaltbasierte Bildsuche besteht darin, Bilder innerhalb eines Datensatzes zu finden, die einem bestimmten Bild am meisten ähneln. Mit FeatureExtraction können Sie die Ähnlichkeit zwischen Bildern von Denkmälern und Sehenswürdigkeiten weltweit ermitteln und vergleichen.
In[1]:=

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"], {{0, 48}, {75, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag[
"Byte", ColorSpace -> "RGB", Interleaving -> True,
Magnification -> 0.5],
Selectable->False],
DefaultBaseStyle->"ImageGraphics",
ImageSize->Magnification[0.5],
ImageSizeRaw->{75, 48},
PlotRange->{{0, 75}, {0, 48}}]\)};
Erstellen Sie einen Extraktor semantischer Merkmale für diesen Datensatz.
In[2]:=

fe = FeatureExtraction[trainingset, "ImageFeatures"]
Out[2]=

Die Bildersuche besteht darin, Bilder mit den nächsten Deskriptoren aus dem Trainingssatz aufzurufen.
In[3]:=

nf = Nearest[fe[trainingset] -> Automatic];
ImageRetrieve[query_, topmost_: 1] :=
Image[#, Magnification -> 1] & /@
trainingset[[nf[fe[query], topmost]]];
Rufen Sie die Top 4 Bilder für unterschiedliche Bildabfragen ein.
In[4]:=

Table[{Image[i, Magnification -> 1] ->
Row[ImageRetrieve[i, 4], " "]}, {i, {\!\(\*
GraphicsBox[
TagBox[RasterBox[CompressedData["
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ColorFunction->RGBColor],
BoxForm`ImageTag[
"Byte", ColorSpace -> "RGB", Interleaving -> True,
Magnification -> Rational[1, 2]],
Selectable->False],
DefaultBaseStyle->"ImageGraphics",
ImageSize->Magnification[0.5],
ImageSizeRaw->{75, 57},
PlotRange->{{0, 75}, {0, 57}}]\)}}] // Grid
Out[4]=
