img2bw 0.1.4

Command-line application to binarize images

img2bw

img2bw is a simple command-line application to binarize images.

Binarization algorithms: otsu, isodata, li, local, mean, minimum, multiotsu, niblack, sauvola, triangle, yen.

Requirements

• Python3

Installation

Open the terminal, go to the folder of this package and type:

pip install img2bw

Usage

To binarize a single image, type:

img2bw image.jpg --method otsu

To binarize all the images in a directory, type:

img2bw input_dir/ --output output_dir/

If no method is specified, otsu will be used.

You can try all the methods using --method try-all

More options

To view all the available options, type img2bw --help in the terminal:

usage: img2bw [-h] [-o OUTPUT] [-e {jpg,jpeg,jfif,png,tiff,bmp,pnm}]
              [-m {otsu,isodata,li,local,mean,minimum,multiotsu,niblack,sauvola,triangle,yen,try-all}]
              [-b BLOCK_SIZE] [-c NUM_CLASSES]
              input

positional arguments:
  input                 Input file or directory

optional arguments:
  -h, --help            show this help message and exit
  -o OUTPUT, --output OUTPUT
                        Output file or directory
  -e {jpg,jpeg,jfif,png,tiff,bmp,pnm}, --output-ext {jpg,jpeg,jfif,png,tiff,bmp,pnm}
                        Output file extension
  -m {otsu,isodata,li,local,mean,minimum,multiotsu,niblack,sauvola,triangle,yen,try-all}, --method {otsu,isodata,li,local,mean,minimum,multiotsu,niblack,sauvola,triangle,yen,try-all}
                        Method used to perform the binarization
  -b BLOCK_SIZE, --block-size BLOCK_SIZE
                        Odd size of pixel neighborhood which is used to
                        calculate the threshold value (local threshold)
  -c NUM_CLASSES, --num-classes NUM_CLASSES
                        Number of classes to be thresholded (multiotsu)