# tensorflowjs-binarization
## Description
Implementation of binarization algorithms e.g. Otsu threshold

## Installation
    $ npm i tensorflowjs-binarization
    
## Usage
``` javascript
const tf = require('@tensorflow/tfjs-node-gpu');
const fs = require("fs");
const threshold = require('tensorflowjs-binarization');

const thresh = new threshold(tf);

async function test(){

	let img1 = fs.readFileSync("./test_images/wow.png");

	const imageToPixel = await tf.node.decodePng(img1, 1);

	let bin = await thresh.binary(imageToPixel, 0.6, false);

	let otsuz = await thresh.otsu(imageToPixel);

	let newImg = await tf.node.encodePng(bin,1);

	let newImg_otsuz = await tf.node.encodePng(otsuz,1);



fs.writeFileSync("./test_images/result/bin.png", newImg)
fs.writeFileSync("./test_images/result/otsuz.png", newImg_otsuz)


}


 test();
```

### binary
1st argument is tf.tensor3d
2nd argument is threshold coeff (float)
3rd argument is optional (boolean argument, defines if script should invert the colour)

### otsu
Otsu binarization algorithms with calculating optimal threshold coeff.

# License

  [MIT](LICENSE)