sipp

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Published: Feb 1, 2023 License: MIT

README

Simple Image Processing Pipeline

This software consists of a set of packages for building image-processing
pipelines, as well as a demo program, sipp, that provides all the functions in
a command-line program.

Sipp depends on gosfft and on gonum. If you use go get to install sipp, these
should be installed automatically.

To build the demo program in a default Go workspace (as described in 
http://golang.org/doc/code.html#Workspaces), run 

go install github.com/Causticity/sipp/sipp from anywhere in the workspace.

Windows version:
go install github.com\Causticity\sipp\sipp

This will build the sipp demo program into the bin directory of the workspace.

Then to run it

sipp -in=<path to input image> -out=<prefix for output images> -a=true

For example, I have an out directory parallel to the standard src, pkg, and bin,
so I run from the root as follows:

sipp -in=src/github.com/Causticity/sipp/sampledata/Lacryma_1024.png -out=out/Lac -a=true

This prepends the various output files with "Lac" and places them in the out
directory.

Each type of output file has it's own command-line argument, and there is an
argument to write all of them.

Full usage of sipp:
  -K int
    	Number of bins to scale the max radius to. The histogram will be 2K+1 bins on a side.
        This is used only for 16-bit images.
        If K is omitted, it is computed from the maximum excursion of the gradient.
        8-bit images always use a 511x511 histogram, as that covers the entire possible space.
  -a	Boolean; if true, write all the images
  -e	Boolean; if true, write a conventional entropy image
  -f	Boolean; if true, write the fft real and imaginary images
  -fls
    	Boolean; if true, write the fft log spectrum image
  -g	Boolean; if true, write the gradient real and imaginary images
  -ge
    	Boolean; if true, write a gradient-entropy image
  -h	Boolean; if true, write a histogram image
  -he
    	Boolean; if true, write a histogram-entropy image
  -hs
    	Boolean; if true, write a histogram image with the center spike suppressed
  -in string
    	Input image file; must be grayscale png
  -out string
    	Output image file prefix
  -t	Boolean; if true, write a thumbnail image

Directories

Path Synopsis
Package sentropy provides functions for computing entropy and delentropy of SippImages, as well as rendering these as images.
Package sentropy provides functions for computing entropy and delentropy of SippImages, as well as rendering these as images.
Package sgrad provides facilities for the computation of a finite-difference gradient image from a source SippImage and a 2x2 kernel.
Package sgrad provides facilities for the computation of a finite-difference gradient image from a source SippImage and a 2x2 kernel.
Package shist provides functions for computing a histogram of values of an image, and for computing and rendering a 2-dimensional histogram of values of a complex or ComplexInt32 gradient image.
Package shist provides functions for computing a histogram of values of an image, and for computing and rendering a 2-dimensional histogram of values of a complex or ComplexInt32 gradient image.

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