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Entropy-based image border detection algorithm library

Project description

Entropy-based image border detection algorithm: finds out if your image has borders or whitespaces around and helps you to trim border providing whitespace offsets for every side of a picture, supports animated GIFs.

pypi version travis ci build status

Algorithm (simplified)

For each side of the image starting from top, rotating image counterclockwise to keep side of interest on top:

  • Get upper block 25% of image height
  • Get lower block with the same height as the upper one
  • Calculate entropy for both blocks and their difference
  • Make upper block 1px less
  • Repeat from p.2 until we hit image edge
  • Border is between blocks with entropy difference maximum
Sliding from center to edge - searching for maximum entropy difference

Requirements

Python 3.5+

Setup

python-3.6 -m venv .env
source .env/bin/activate
pip install enimda

Usage

Find if image has borders:

from enimda import ENIMDA


# Load target image
em = ENIMDA(fp='test.jpg')

# Scan for borders with high precision
borders = em.scan(fast=False)

# Print found image borders (tuple): top, right, bottom, left
print(borders)

Demo

For demo please refer to ENIMDA Demo

Also it lives at Picture Instruments as ‘Remove borders’ instrument

Tests

Run tests: py.test

Project details


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Filename, size & hash SHA256 hash help File type Python version Upload date
enimda-2.1.0-py3-none-any.whl (6.8 kB) Copy SHA256 hash SHA256 Wheel 3.6
enimda-2.1.0.tar.gz (4.2 kB) Copy SHA256 hash SHA256 Source None

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