This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (pypi.python.org).
Help us improve Python packaging - Donate today!

Image Morphology Toolbox

Project Description

Summary

This image morphology toolbox implements the basic binary and greyscale morphology operations, working with numpy arrays representing images.

This is a pure Python package which is the companion package to the book “Hands-on Morphological Image Processing.” It has been updated to work with numpy and the names and interfaces have been Pythonised.

Includes basic operations such as - erode - dilate - open - tophat opening - watershed - …

Install

One of

pip install pymorph
easy_install pymorph

or download and run

python setup.py install

See Also

The package mahotas implements some of the same functions in C++ and, so, it is much faster (even if it is not as feature-full).

Status & Future Plans

The package is actively maintained and any reported bug will be fixed fast.

Currently there are no known bugs (although testing coverage is not complete).

When all functions have a corresponding unit test and the whole of the API documentation has been re-written into numpy rst format, I will release version 1.0.

Release History

Release History

This version
History Node

0.96

History Node

0.95

History Node

0.94

History Node

0.93

History Node

0.92.6

History Node

0.92.5

History Node

0.92.4

History Node

0.92.3

History Node

0.92.2

History Node

0.92.1

History Node

0.92

History Node

0.91.8

History Node

0.91.7

History Node

0.91.6

History Node

0.91.5

History Node

0.91.4

History Node

0.91.3

History Node

0.91.2

History Node

0.91.1

History Node

0.91

History Node

0.90

History Node

0.90b

History Node

0.89

Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pymorph-0.96.tar.gz (43.5 kB) Copy SHA256 Checksum SHA256 Source Dec 3, 2010

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting