Wolfram Language

Traitement des images et des signaux

Détectez les objets en rotation

ImageDisplacements peut capturer les caractéristiques dynamiques dans les séquences vidéo. D'une image vidéo à l'autre, ImageDisplacements fournit un champ vectoriel décrivant le flux optique qui correspond essentiellement au champ de mouvement d'objets en 2D dans la vidéo.

L'analyse du champ vectoriel fournit une variété d'outils pour analyser ces champs de mouvement. Cet exemple montre la courbe pour détecter les objets en rotation.

Une séquence vidéo consistant à faire tourner les éoliennes.

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In[2]:=
Click for copyable input
ListAnimate[seq]
Jouer l'animation
Arrêter l'annimation

Obtenez le flux optique moyen de la séquence vidéo entière.

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]=

La boucle d'un champ vectoriel détermine la quantité de rotation inhérente.

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]=

Une distribution de courbure floue donne un résultat plus robuste pour les rotations à grande échelle. Le noir correspond à une rotation négative, le blanc à une rotation d'orientation positive.

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

Coloriez le plan de rotation et superposez-le sur l'image originale.

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

Exemples connexes

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