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@@ -7,7 +7,14 @@ degrees for a <em>distance</em> (default = 1).
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<p>
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<p>
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The output of <em>r.texture</em> can be used as additional input for
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The output of <em>r.texture</em> can be used as additional input for
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-image classification or image segmentation (object recognition).
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+image classification or image segmentation (object recognition). The output
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+of <em>r.texture</em> can thus be used as input to supervised classification
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+algorithms such as <a href="i.maxlik.html">i.maxlik</a> or
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+<a href="i.smap.html">i.smap</a>, or for characterizing objects resulting
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+from a href="i.segment.html">i.segment</a>, for example as one of the
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+raster inputs of the
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+<a href="https://grass.osgeo.org/grass70/manuals/addons/i.segment.stats.html">
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+ i.segment.stats</a> addon.
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<p>
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<p>
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<em>r.texture</em> assumes grey levels ranging from 0 to 255 as input.
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<em>r.texture</em> assumes grey levels ranging from 0 to 255 as input.
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@@ -16,25 +23,23 @@ of this range.
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<p>
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<p>
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In order to reduce noise in the input data, and to speed up processing,
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In order to reduce noise in the input data, and to speed up processing,
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-the input map can be recoded using equal-probability quantization.
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-Quantization rules for <em>r.recode</em> can be generated with
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-<em>r.quantile -r</em> using e.g 16 or 32 quantiles (see example below).
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+the input map it is recommended that the user recode the data using
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+equal-probability quantization. Quantization rules for <em>r.recode</em>
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+can be generated with <em>r.quantile -r</em> using e.g 16 or 32 quantiles
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+(see example below).
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<p>
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<p>
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In general, several variables constitute texture: differences in grey level values,
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In general, several variables constitute texture: differences in grey level values,
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coarseness as scale of grey level differences, presence or lack of directionality
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coarseness as scale of grey level differences, presence or lack of directionality
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and regular patterns. A texture can be characterized by tone (grey level intensity
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and regular patterns. A texture can be characterized by tone (grey level intensity
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properties) and structure (spatial relationships). Since textures are highly scale
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properties) and structure (spatial relationships). Since textures are highly scale
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-dependent, hierarchical textures may occur.
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-
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-<p>
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-<em>r.texture</em> reads a GRASS raster map as input and calculates
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-textural features based on spatial dependence matrices for north-south,
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-east-west, northwest, and southwest directions using a side by side
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-neighborhood (i.e., a distance of 1), and writes out by default the average
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-over all angles for each measure. Optionally, using flag <b>-s</b> the output
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-consists of four images for each textural feature, one for every direction
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-(0, 45, 90, 135).
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+dependent, hierarchical textures may occur. <em>r.texture</em> thus allows the user
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+to define the moving window <em>size</em> and the <em>distance</em> at which to
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+compare pixel grey values. The user can also request output of the texture
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+variables in 4 different orientations (flag <em>-s</em>). Please note that angles
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+are defined in degrees of east and they increase counterclockwise, so 0 is
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+East - West, 45 is North-East - South-West, 90 is North - South, 135 is
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+North-West - South-East.
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<h2>NOTES</h2>
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<h2>NOTES</h2>
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Moritz Lennert