"Image3D" (Net Decoder)

NetEncoder["Image3D"]

represents a decoder that converts a rank-4 array of pixel values to a 3D image.

NetEncoder[{"Image3D","param"val,}]

represents a decoder with specific parameters for postprocessing.

Details

  • NetDecoder[][input] applies the decoder to an input to produce an output.
  • NetDecoder[][{input1,input2,}] applies the decoder to a list of inputs to produce a list of outputs.
  • The input to the decoder input is a rank-4 array of numeric values that lie between 0 and 1.
  • A decoder can be attached to an output port of a net by specifying "port"->NetDecoder[] when constructing the net.
  • Parameters
  • The following parameters are supported:
  • ColorSpace"RGB"color space to use for encoding
    InterleavingFalsewhether channels are interleaved
    "MeanImage"Nonemean image to subtract
    "VarianceImage"Nonevariance image to normalize by
  • The parameter ColorSpace can take the same values as the ColorSpace option.
  • The input of the decoder is a rank-4 array of shape {c,height,depth,width} when InterleavingFalse and {height,depth,width,c} when InterleavingTrue, where c is the number of color channels.
  • The following settings can be used for "MeanImage" and "VarianceImage":
  • Nonedo not subtract anything
    mvalue to subtract from each channel of each pixel
    {m1,m2,}values to be subtracted from different channels
    Image3D[]overall image to subtract
  • Pixels are normalized to lie between 0 and 1 before doing subtraction.
  • Properties
  • NetDecoder[][data,prop] can be used to calculate a specific property for the input data.
  • When an "Image3D" decoder is attached to a net, net[data,prop] or net[data,"oport"->prop] can be used to calculate a specific property of the decoded output.
  • The "Image3D" decoder only supports the bypass property. Setting prop to None bypasses decoding and returns the input to the decoder.

Examples

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Basic Examples  (1)

Create an RGB image decoder:

Use it to decode a three-channeled array as an RGB image:

Scope  (1)

Create a grayscale 3D image decoder:

Use it to decode a single-channel matrix as a grayscale image:

The decoder maps across a batch of examples: