Wolfram Language

Bild- und Signalverarbeitung

Rotierende Objekte erkennen

ImageDisplacements erfasst dynamische Merkmale in Filmsequenzen. ImageDisplacements erzeugt für jedes Einzelbild des Films ein Vektorfeld , das den optischen Flow m zweidimesnionalen Bewegungsfeld der Objekte in dem Film beschreibt.

Die Vektorfeldanalyse bietet eine Vielzahl von Werkzeugen, um diese Bewegungsfelder zu analysieren. Diese Beispiel befasst sich mit der Rotation eines Vektorfeldes zur Erkennung rotierender Objekte.

Eine Filmsequenz rotierender Windräder.

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In[2]:=
Click for copyable input
ListAnimate[seq]
Animation abspielen
Abspielung unterbrechen

Ermitteln Sie den durchschnittlichen optischen Fluss der gesamten Filmsequenz.

In[3]:=
Click for copyable input
flow = Mean@ImageDisplacements[Append[seq, First[seq]]];
In[4]:=
Click for copyable input
Show[ First[seq], ListVectorPlot[Transpose@Reverse@flow, VectorStyle -> Yellow, VectorPoints -> Fine] ]
Out[4]=

Die Rotation eines Vektorfelds bestimmt die Anzahl der inhärenten Rotationen.

In[5]:=
Click for copyable input
listCurl = flow \[Function] ListConvolve[{{0.5`, 0, -0.5`}}, flow[[All, All, 2]], {{1, 2}, {1, 2}}, "Fixed"] - ListConvolve[{{-0.5`}, {0.`}, {0.5`}}, flow[[All, All, 1]], {{1, 2}, {1, 2}}, "Fixed"];
In[6]:=
Click for copyable input
curl = ImageAdjust@Image@(listCurl@flow)
Out[6]=

Eine verschwommene Rotationsverteilung liefert ein verlässlicheres Ergebnis für großangelegte Rotationen. Schwarz steht für negative Rotation, weiß kennzeichnet Rotation mit positiver Drehrichtung.

In[7]:=
Click for copyable input
blurredCurl = ImageAdjust[GaussianFilter[curl, 8 {3, 1}]]
Out[7]=

Färben Sie die Rotationsgraphik ein und legen Sie diese über das Originalbild.

In[8]:=
Click for copyable input
ImageCompose[seq[[1]], SetAlphaChannel[ Colorize[blurredCurl, ColorFunction -> ColorData[{"TemperatureMap", "Reverse"}]], ColorNegate[blurredCurl]]]
Out[8]=

Verwandte Beispiele

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