Векторизация иконки битовой карты
Функция ImageMesh преобразует сегменты переднего планарастрового изображения в сетчатые области многоугольников. Путем разделения изображения на цветовые сегменты, пользователь может разложить эти компоненты изображения на полигоны, отображающие графику исходного изображения. Этот процесс называется векторизацией и представляет собой операцию, обратную растрированию (см. Rasterize)
Ниже приведена иконка, которую предстоит векторизовать.
img = \!\(\*
GraphicsBox[
TagBox[RasterBox[CompressedData["
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"], {{0, 192}, {192,
0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
Selectable->False],
DefaultBaseStyle->"ImageGraphics",
ImageSizeRaw->{192, 192},
PlotRange->{{0, 192}, {0, 192}}]\);
Разобьем изображение на цветовые сегменты с цветным расстоянием в 1/8 или больше.
colorDistance = 1/8;
{colors, masks} =
Transpose@DominantColors[
MeanShiftFilter[img, 1, colorDistance, MaxIterations -> 12],
Automatic,
{"Color", "CoverageImage"},
ColorCoverage -> 0,
MinColorDistance -> colorDistance
]
Удалить сегменты, которые слишком малы или недостаточно широки.
cleanMasks = Map[Opening[#, 1] &, masks]
validColors = Map[(ImageMeasurements[#, "Total"] > 0) &, cleanMasks]
Расширим цветовые сегменты и заполним области возможных пробелов с использованием алгоритма grow-cut.
components =
GrowCutComponents[img, Pick[cleanMasks, validColors],
MaxIterations -> 5];
Преобразуем цветовые сегменты в бинарные маски.
completeMasks =
Reverse@Map[Image,
Differences@
Table[UnitStep[components - k], {k, Max[components] + 1, 1, -1}]]
Преобразуем бинарные маски в граничные сетчатые областии извлечем их полигоны в качествe заполненных кривых. Соберем все заполненные кривые и их соответствующие цвета в графическое выражение.
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]]) &]]
]
]
]
icon =
Graphics[
MapThread[
{#1, MaskToFilledCurve[Binarize[#2]]} &,
{Pick[colors, validColors], completeMasks}
]
]
Преобразованная иконка теперь масштабирована и занимает меньше ресурсов памяти.
ByteCount[img]
ByteCount[icon]