aka "Consequencer"

Image Sequencer is different from other image processing systems in that it's non-destructive: instead of modifying the original image, it creates a new image at each step in a sequence. This is because it:

• produces a legible trail of operations, to "show your work" for evidential, educational, or reproducibility reasons
• makes the creation of new tools or "modules" simpler -- each must accept an input image, and produce an output image
• allows many images to be run through the same sequence of steps

It is also for prototyping some other related ideas:

• filter-like image processing -- applying a transform to any image from a given source, like a proxy. I.e. every image tile of a satellite imagery web map
• test-based image processing -- the ability to create a sequence of steps that do the same task as some other image processing tool, provable with example before/after images to compare with
• logging of each step to produce an evidentiary record of modifications to an original image
• cascading changes -- change an earlier step's settings, and see those changes affect later steps
• "small modules"-based extensibility: see Contributing, below

Examples:

• Basic example
• NDVI example - related to Infragram.org

Happily accepting pull requests; to edit the core library, modify files in /src/. To build, run npm install and grunt build.

Most contribution (we imagine) would be in the form of API-compatible modules, which need not be directly included.

To add a module to Image Sequencer, it must have the following method; you can wrap an existing module to add them:

• module.draw(image)

The draw() method should accept an image parameter, which will be a native JavaScript image object (i.e. new Image()).

The draw method must, when it is complete, pass the output image to the method options.output(image), which will send the output to the next module in the chain. For example:

function draw(image) {

  // do some stuff with the image

  options.output(image);

}

For display in the web-based UI, each module may also have a title like options.title.

See existing module green-channel for an example: https://github.com/jywarren/image-sequencer/tree/master/src/modules/GreenChannel.js

For help integrating, please open an issue.

Notes on development next steps:

• add createUserInterface() which is set up by default to draw on ImageBoardUI, but could be swapped for nothing, or an equiv. lib

• it could create the interface and use event listeners like module.on('draw', fn()); to update the interface

• spinners before panels are complete

• is there a module for generating forms from parameters?

• click to expand for all images

• ImageSequencer.Renderer class to manage image output formats and adapters

• remove step

• output besides an image -- like message(txt) to display to the step's UI

• remotely includable modules, not compiled in -- see plugin structures in other libs
• ability to start running at any point -- already works?
• commandline runnability?
  • Make available as browserified OR require() includable...
• standardize panel addition with submodule that offers Panel.display(image)
• allow passing data as data-uri or Image object, or stream, or ndarray or ImageData array, if both of neighboring pair has ability?
  • see jywarren#1
• ...could we directly include package.json for module descriptions? At least as a fallback.
• (for node-and-line style UIs) non-linear sequences with Y-splitters
• sequencer.addModule('path/to/module.js') style module addition -- also to avoid browserifying all of Plotly :-P
• remove step

• tests - modules headless; unit tests
• comparisons with diff
  • testing a module's promised functionality: each module could offer before/after images as part of their API; by running the module on the before image, you should get exactly the after image, comparing with an image diff

• make an Infragram module that accepts a math expression

• BUG: this doesn't work for defaults: imageboard.loadImage('examples/grid.png', function() {
  • we should make defaults a config of the first module

• https://github.com/linuxenko/rextract.js
• https://www.npmjs.com/package/histogram
• https://github.com/hughsk/flood-fill
• https://www.npmjs.com/package/blink-diff
• smaller and faster: https://www.npmjs.com/package/@schornio/pixelmatch
• https://github.com/yahoo/pngjs-image has lots of useful general-purpose image getters like image.getLuminosityAtIndex(idx)
• some way to add in a new image (respecting alpha) -- add-image (with blend mode, default normal?)
• https://github.com/yuta1984/CannyJS - edge detection
• http://codepen.io/taylorcoffelt/pen/EsCcr - more edge detection

• https://github.com/vicapow/jsqrcode
• https://github.com/jadnco/whirl - scrubbable image sequence player
• non graphics card GL functions could be shimmed with https://github.com/Overv/JSGL
• or this: https://github.com/stackgl/headless-gl
• https://github.com/mattdesl/fontpath-simple-renderer
• output in animated Gif? as a module

Complex sequences with masking could require accessing previous states (or nonlinearity):

• flood-fill an area
• select only the flooded area
  • roundabout: lighten everything to <50%, then flood-fill with black? Not 100% reliable.
  • roundabout 2: flood fill, then blink-diff with original
• then add step which recovers original image, repeat flood-fill/blink-diff for second region
• reference above masked states in a mask module, with maskModule.draw(image, { getMask: function() { return maskImg } })

Notes:

pattern-fill module to use patterns in JS canvas:

var c=document.getElementById("myCanvas");
var ctx=c.getContext("2d");
var img=document.getElementById("lamp");
var pat=ctx.createPattern(img,"repeat");
ctx.rect(0,0,150,100);
ctx.fillStyle=pat;
ctx.fill();

Masking:

ctx.save();
ctx.beginPath();
ctx.moveTo(0, 0);
ctx.lineTo(160, 600);
ctx.rect(0, 0, 160, 600);
ctx.closePath();
ctx.clip();
ctx.drawImage(img, 0, 0);
ctx.restore();

• visual nodes-and-lines UI: https://github.com/flowhub/the-graph
  • https://flowhub.github.io/the-graph/examples/demo-simple.html

settings: {
  'threshold': {
    type: 'slider',
    label: 'Threshold',
    default: 50,
    min: 0,
    max: 100
  },
  'colors': {
    type: 'select',
    label: 'Colors',
    options: [
      { name: '0', value: '0', default: true },
      { name: '1', value: '1' },
      { name: '2', value: '2' }
    ]
  }
}

Possible web-based commandline interface: https://hyper.is/?

• threshold
• vectorize
  • edge detect
  • direction find (vectorize and colorize)