Wolfram Language

Processamento de imagens e sinais

Vetorize um ícone de um bitmap

ImageMesh converte segmentos de primeiro plano de uma imagem raster em regiões de malha codificadas por polígonos. Dividindo uma imagem em segmentos de cor, você pode transcrever esses componentes em polígonos e remontá-los como uma versão de Graphics da imagem original. Este processo é chamado de vetorização e constitui o processo inverso de Rasterize.

Uma imagem de ícone para ser vetorizada.

In[1]:=
Click for copyable input
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Divida a imagem em segmentos de cor com uma distância de cor de 1/8 ou mais.

In[2]:=
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colorDistance = 1/8;
In[3]:=
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{colors, masks} = Transpose@DominantColors[ MeanShiftFilter[img, 1, colorDistance, MaxIterations -> 12], Automatic, {"Color", "CoverageImage"}, ColorCoverage -> 0, MinColorDistance -> colorDistance ]
Out[3]=

Remova segmentos que são muito pequenos e muito finos.

In[4]:=
Click for copyable input
cleanMasks = Map[Opening[#, 1] &, masks]
Out[4]=
In[5]:=
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validColors = Map[(ImageMeasurements[#, "Total"] > 0) &, cleanMasks]
Out[5]=

Estenda os segmentos de cor em possíveis lacunas usando o algoritmo cresce-corta.

In[6]:=
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components = GrowCutComponents[img, Pick[cleanMasks, validColors], MaxIterations -> 5];

Converta todos os segmentos de cor em máscaras binárias.

In[7]:=
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completeMasks = Reverse@Map[Image, Differences@ Table[UnitStep[components - k], {k, Max[components] + 1, 1, -1}]]
Out[7]=

Converta as máscaras binárias em objetos de BoundaryMeshRegion e extraia seus polígonos como FilledCurve. Agrupe todos os objetos de FilledCurve e suas cores correspondentes em uma expressão de Graphics.

In[8]:=
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MaskToFilledCurve[mask_Image?BinaryImageQ] := With[ {bm = ImageMesh[mask, Method -> "LinearSeparable"]}, GraphicsComplex[ MeshCoordinates[bm], With[ {lines = MeshCells[bm, 1]}, FilledCurve[Split[lines, (#1[[1, -1]] === #2[[1, 1]]) &]] ] ] ]
In[9]:=
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icon = Graphics[ MapThread[ {#1, MaskToFilledCurve[Binarize[#2]]} &, {Pick[colors, validColors], completeMasks} ] ]
Out[9]=

O ícone resultante é escalável e consome menos memória.

In[10]:=
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ByteCount[img]
Out[10]=
In[11]:=
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ByteCount[icon]
Out[11]=

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