Training

Ofra Golani's picture

Image Processing, Visualization and quantification class by Sam Johnson, Duke University

Image Processing, Visualization and quantification class

Mixture of some lecture-format background information and practical computer exercises using Fiji, slides and example images from 1 day course.

Topics covered in the class include:

Ofra Golani's picture

Image Analysis Course for Life Science by Morten Larsen, University of Copenhagen

Image Analysis Course for Life Science Faculty.
Material includes: slides, hands-on exercises using ImageJ and related data.
There is a full lecture on ImageJ macro language (session 12).
Website: [http://www.matdat.life.ku.dk/ia/]

Session 1: The basics: Images - Digital image representation, Image processing and image analysis, Concerns at image acquisition, Pixel-wise transformations, Visual enhancement

volker's picture

Image Processing and Analysis with ImageJ

In this workshop you will learn how to apply image analysis and processing techniques, using the public domain software ImageJ and some additions (plugins and macros). The first part explains the tools available in ImageJ while the second part is centered around image analysis and processing methods. Exercises, solutions and example images are available.

volker's picture

ImageJ Macro Programming for Biological Image Analysis

Learn how to write ImageJ macros for the automation of image analysis tasks. For each topic there is a short presentation followed by a small exercise that has to be solved by the participants. Ideally you have already used ImageJ before but you know nothing or very little about programming. If this is not the case you might still find parts of the workshop interesting. Most of the workshop is available in the form of macro toolsets that you can install in FIJI. The macro toolsets provide predefined parts of the code that the student has to complete in order to solve an exercise.

christoph_moehl's picture

Open Image Processing Blog (Matlab)

This is an open blog, where people from the Image Processing community can present and share parts of their work, expose more people to it, inspire new ideas for projects and make new connections.
The goal is to create a database of useful and unique image processing posts. Most posts should be hands-on, with the MATLAB code of the problem and with clear, easy to follow documentation.

A starting point for beginners and advanced when they encounter a new challenge or as a place to get ideas from.

ronligt's picture

Image Analysis

The goal of this laboratory course is to get hands-on experience with image processing. To do so, you will have to learn the image-processing environment: MATLAB and the DIPimage toolbox for scientific image processing. To facilitate a quick start, there will not be an in-depth explanation of all the features in the software. We will briefly present the things you need at this moment. We have marked the sections that explain something about the environment with the ☞ symbol, so that they stand out.

ronligt's picture

Introduction to DIPimage

The goal of this laboratory work is to get hands-on experience with image processing. To do so, you will have to learn the image-processing environment: MATLAB and the DIPimage toolbox for multi-dimensional image processing. To facilitate a quick start, there will not be an in-depth explanation of all the features in the software. We will briefly present the things you need at this moment. We have marked the sections that explain something about the environment with thesymbol, so that they stand out. Let us start with a short introduction to the MATLAB environment.

Ofra Golani's picture

Image Analysis for Biology

Thourough introduction to image analysis using matlab
Caltech, MBL Physiology Course 2008