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Image Processing with Python

Dates for Open Courses

Only available as online or in-house training.

Target Audience

The course targets medium level to experienced Python programmers who want to learn how to use Python for image processing. This course is no introduction to Python but focuses in the image processing principles and how to implement them in Python. Please see section "Recommended Module Combinations" for recommended courses to acquire the needed knowledge to successfully take part in this training.

Motivation

An increasing number of scientists and engineers use Python in a broad spectrum of fields. Image processing is one of the cornerstones in Python’s scientific computing community thanks to the availability of well-maintained packages

Goals

During the course of this training, you will learn how to

  • load image data or extract it from your data,
  • process image data by means of filtering, enhancing, extraction,
  • annotate image data for documentation or visualization purposes, and
  • store image data and extracted data by
  • employing state-of-the-art Python packages.

Course Content

Data Input / Output

  • First steps
  • Beyond 2D images

Basic Image Manipulation and Analysis with NumPy and SciPy

  • Cropping and scaling
  • Thresholding and masking
  • Linear spatial filters
  • Interpolation
  • Morphological operations
  • Measurements

Interactive Workflow

  • Installation
  • Usage

Advanced Image Analysis and Processing with scikit-image and OpenCV

  • Color spaces
  • Filtering in the frequency domain
  • Image restoration
  • Image segmentation
  • Feature extraction
  • Image registration

Course Duration

3 days

Exercises

The participants can follow all steps directly on their computers. There are exercises at the end of each unit providing ample opportunity to apply the freshly learned knowledge.

Course Material

Every participant receives comprehensive printed materials that cover the whole course content as wells as all source codes and used software.

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