Detecte objetos giratorios
ImageDisplacements puede capturar atributos dinámicos en secuencias de videos. De un cuadro de video a otro, ImageDisplacements proporciona un campo vectorial que describe el flujo óptico que esencialmente corresponde al campo de movimiento de objetos en 2D en el video.
El análisis de campo vectorial proporciona una variedad de herramientas para analizar campos de movimiento. Este ejemplo se enfoca en el rotacional para detectar objetos en rotación.
Una secuencia de video de turbinas de viento rotando.
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"], {{0, 256}, {256, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
Selectable->False],
DefaultBaseStyle->"ImageGraphics",
ImageSizeRaw->{256, 256},
PlotRange->{{0, 256}, {0, 256}}]\), ...};
ListAnimate[seq]
Obtenga el promedio del flujo óptico de toda la secuencia de video.
flow = Mean@ImageDisplacements[Append[seq, First[seq]]];
Show[
First[seq],
ListVectorPlot[Transpose@Reverse@flow, VectorStyle -> Yellow,
VectorPoints -> Fine]
]
El rotacional de un campo vectorial determina la cantidad de rotación inherente.
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"];
curl = ImageAdjust@Image@(listCurl@flow)
Una distribución de rotacional borrosa proporciona un resultado más robusto para rotaciones a gran escala. El color negro es sinónimo de rotación negativa, mientras que el color blanco denota rotación con orientación positiva.
blurredCurl = ImageAdjust[GaussianFilter[curl, 8 {3, 1}]]
Coloree el mapa de rotación y superpóngalo sobre la imagen original.
ImageCompose[seq[[1]],
SetAlphaChannel[
Colorize[blurredCurl,
ColorFunction -> ColorData[{"TemperatureMap", "Reverse"}]],
ColorNegate[blurredCurl]]]