ONBI_image_analysis/day03-practicals.html at master · dwaithe/ONBI_image_analysis · GitHub

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<h1>Practical Assignments - Day 3</h1>

<h2><span style="font-size:16px;">Wednesday 10th December: 15:00 - 17:30.</span></h2>

<h3><span style="font-size:16px;"><span style="color:#B22222;">Throughout your assignments there are questions marked in red. The answers to these questions must be submitted to complete the practical. Please write you answers to the questions in a word document (or other application and generate a pdf) with the title of the assignment included above your answers.</span></span></h3>

<p><span style="font-size:16px;"><strong><em>Introductory Assignments</em></strong> - Complete all sections.</span></p>

<p><span style="font-size:16px;">1)&nbsp;<a href="https://weblearn.ox.ac.uk/access/content/group/mplsdoc/Modules/2014/Michaelmas%20Term/Week%208%20-%20Foundations%20of%20Image%20Analysis/data/day3-segmentation/day02-practicals-1-2.html">General Segmentation</a></span></p>

<p><span style="font-size:16px;">&nbsp; &nbsp; &nbsp;This practical uses watershed and morphological methods to segmentation some microscopy images, although these are very general techniques and apply to a wide range of problems. &nbsp; &nbsp;Allow around 60 minutes for this.</span></p>

<p><span style="font-size:16px;">2) <a href="https://weblearn.ox.ac.uk/access/content/group/mplsdoc/Modules/2014/Michaelmas%20Term/Week%208%20-%20Foundations%20of%20Image%20Analysis/data/day3-segmentation/Day3_FSL_Segmentation_Prac">MRF-based Mixture Models</a></span></p>

<p><span style="font-size:16px;">&nbsp; &nbsp; &nbsp;This practical uses MRF-based mixture models for tissue-type segmentation of medical images. &nbsp;The examples use brain images, but this is often applied in other medical imaging contexts. &nbsp;Allow around 60 minutes for this.</span></p>

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