Image Processing with Python (original) (raw)

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Course Topics Overview as PDF

You can download our flyer. It has an overview of all our course topics.

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

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.

Software¶

We use our online programing system that contains all needed software. There is no need to install any additional software. A modern internet browser and a decent internet connection will be enough.

Hardware for Open In-Person Trainings¶

For open trainings at our teaching center you can use your own laptop. Alternatively, we provide teaching computers. Please let us know if you need one in your registration form.

Course Material¶

Every participant receives comprehensive materials in PDF format that cover the whole course content as well as all source code.

Recommended Module Combinations¶

You should have intermediate Python experience or attend the coursePython for Programmers before. In addition, the course Python for Scientists and Engineerscan be very useful to learn the basics of NumPy, because NumPy is used extensively in this training.