Find and Extract Salient Image Regions
Saliency detection is a technique commonly used to find the conspicuous regions in an image, such as objects that capture your attention.
Compute a saliency measure for every pixel of an image.
In[1]:=
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"], {{0, 360}, {480, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
Selectable->False],
DefaultBaseStyle->"ImageGraphics",
ImageSize->Magnification[1],
ImageSizeRaw->{480, 360},
PlotRange->{{0, 480}, {0, 360}}]\);
In[2]:=
map = ImageAdjust@ImageSaliencyFilter[i, Method -> "ImageSignature"]
Out[2]=
Segment and highlight the most salient region of the image.
In[3]:=
mask = DeleteSmallComponents@Dilation[Binarize[map, 2/3], 2];
In[4]:=
HighlightImage[i, mask, "Lighten"]
Out[4]=
Trim the image to the salient region.
In[5]:=
ImageTrim[i, #, 10] & /@
ComponentMeasurements[mask, "BoundingBox"][[All, 2]]
Out[5]=
Perform saliency detection and trimming on multiple images.
In[6]:=
list = {\!\(\*
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"], {{0, 360}, {480, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag[
"Byte", ColorSpace -> "RGB", Interleaving -> True,
Magnification -> Automatic],
Selectable->False],
DefaultBaseStyle->"ImageGraphics",
ImageSize->Automatic,
ImageSizeRaw->{480, 360},
PlotRange->{{0, 480}, {0, 360}}]\)};
In[7]:=
maps = ImageAdjust@
ImageSaliencyFilter[#, Method -> "ImageSignature"] & /@ list;
masks = DeleteSmallComponents@Dilation[Binarize[#, .7], 2] & /@ maps;
bbox = ComponentMeasurements[#, "BoundingBox"][[All, 2]] & /@ masks;
In[8]:=
MapThread[
HighlightImage[#1, Rectangle @@ (#2[[1]] + {-10 {1, 1}, 10 {1, 1}}),
"Lighten"] &, {list, bbox}]
Out[8]=
In[9]:=
MapThread[Table[ImageTrim[#1, box, 10], {box, #2}] &, {list, bbox}]
Out[9]=