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Foreword
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<li class="toctree-l1"><a class="reference internal" href="digital-images/outro.html">Conclusion</a></li>
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<li class="toctree-l1"><a class="reference internal" href="filtering/fourier.html">Fourier transform</a></li>
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<li class="toctree-l1"><a class="reference internal" href="segmentation/intro.html">Introduction</a></li>
<li class="toctree-l1"><a class="reference internal" href="segmentation/histogram.html">Histogram thresholding</a></li>
<li class="toctree-l1"><a class="reference internal" href="segmentation/clustering.html">Clustering</a></li>
<li class="toctree-l1"><a class="reference internal" href="segmentation/region-growing.html">Region growing</a></li>
<li class="toctree-l1"><a class="reference internal" href="segmentation/watershed.html">Watershed</a></li>
<li class="toctree-l1"><a class="reference internal" href="segmentation/evaluation.html">How to evaluate a segmentation?</a></li>
<li class="toctree-l1"><a class="reference internal" href="segmentation/outro.html">Conclusion</a></li>
</ul>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Mathematical morphology</span></p>
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<li class="toctree-l1"><a class="reference internal" href="mm/intro.html">Introduction</a></li>
<li class="toctree-l1"><a class="reference internal" href="mm/basics.html">Basic operators</a></li>
<li class="toctree-l1"><a class="reference internal" href="mm/composition.html">Composition of basic operators</a></li>
<li class="toctree-l1"><a class="reference internal" href="mm/measure.html">Measure</a></li>
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<li class="toctree-l1"><a class="reference internal" href="restoration/denoising.html">Denoising</a></li>
<li class="toctree-l1"><a class="reference internal" href="restoration/deconvolution.html">Deconvolution</a></li>
<li class="toctree-l1"><a class="reference internal" href="restoration/outro.html">Conclusion</a></li>
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<p aria-level="2" class="caption" role="heading"><span class="caption-text">Feature detection</span></p>
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<p aria-level="2" class="caption" role="heading"><span class="caption-text">Labs</span></p>
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<li class="toctree-l2"><a class="reference internal" href="labs/cor11.html">1 Getting started</a></li>
<li class="toctree-l2"><a class="reference internal" href="labs/cor12.html">2 Display a saved image</a></li>
<li class="toctree-l2"><a class="reference internal" href="labs/cor13.html">3 Display several images</a></li>
<li class="toctree-l2"><a class="reference internal" href="labs/cor14.html">4 Create a simple image</a></li>
<li class="toctree-l2"><a class="reference internal" href="labs/cor15.html">5 Setting the intensity range</a></li>
<li class="toctree-l2"><a class="reference internal" href="labs/cor16.html">6 Segmentation by histogram thresholding</a></li>
<li class="toctree-l2"><a class="reference internal" href="labs/cor17.html">7 Contrast enhancement</a></li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="labs/lab2.html">Lab 2</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<li class="toctree-l2"><a class="reference internal" href="labs/cor22.html">Properties of the Fourier transform</a></li>
<li class="toctree-l2"><a class="reference internal" href="labs/cor23.html">Filtering aliasing</a></li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="labs/lab3.html">Lab 3</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-3"><i class="fa-solid fa-chevron-down"></i></label><ul>
<li class="toctree-l2"><a class="reference internal" href="labs/cor31.html">Lossy compression</a></li>
<li class="toctree-l2"><a class="reference internal" href="labs/cor32.html">Interpolation</a></li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="labs/lab4.html">Lab 4</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-4"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="labs/lab5.html">Lab 5</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-5"><i class="fa-solid fa-chevron-down"></i></label><ul>
<li class="toctree-l2"><a class="reference internal" href="labs/cor5.html">Mathematical morphology</a></li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="labs/lab6.html">Lab 6</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-6"><i class="fa-solid fa-chevron-down"></i></label><ul>
<li class="toctree-l2"><a class="reference internal" href="labs/cor61.html">Denoising</a></li>
<li class="toctree-l2"><a class="reference internal" href="labs/cor62.html">Deconvolution</a></li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="labs/lab7.html">Lab 7</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-7"><i class="fa-solid fa-chevron-down"></i></label><ul>
<li class="toctree-l2"><a class="reference internal" href="labs/cor71.html">Sobel and Canny detectors</a></li>
<li class="toctree-l2"><a class="reference internal" href="labs/cor72.html">Harris detector</a></li>
<li class="toctree-l2"><a class="reference internal" href="labs/cor73.html">Hough transform</a></li>
</ul>
</li>
</ul>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">In a nutshell</span></p>
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<li class="toctree-l1"><a class="reference internal" href="nutshell/classification.html">Classification</a></li>
<li class="toctree-l1"><a class="reference internal" href="nutshell/deeplearning.html">Deep learning</a></li>
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<h1>Foreword</h1>
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<h1>Foreword<a class="headerlink" href="#foreword" title="Permalink to this heading">#</a></h1>
<p>Image processing is the science of manipulating digital images with computer means.
This includes methods and algorithms to modify an image (resizing, filtering, registration…),
improve the visual quality of an image (deblurring, denoising…)
or
analyze the information contained in an image (Fourier analysis, contour detection…),
among other.</p>
<p>This textbook accompanies the course “Basics of image processing” given in the second year of <a class="reference external" href="https://www.master-iriv.fr/">master IRIV</a>,
at the <a class="reference external" href="https://www.unistra.fr/">University of Strasbourg</a>.
The goal of the course and this textbook is to provide an overview of the main problems, tools and methods
encountered in digital image processing.
Each section of the textbook focuses on a specific problem, we were careful to write short and easy-to-read sections.</p>
<!-- In addition to this, chapter [In a Nutshell](mathematical-optimization) gives some explanation of the tools
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<p>Several examples and problems are given through programming exercises, gathered in chapter <a class="reference internal" href="labs/lab1.html#labs-lab1"><span class="std std-ref">Labs</span></a>.
The programming exercises are with Python which is free and now used by many communities (medicine, astronomy, biology…).
To do the exercises on your personal computer, you must install Python and Jupyter Lab, as explained on page <a class="reference internal" href="appendices/python.html#python"><span class="std std-ref">Installing and using Python</span></a>.</p>
<p>For french-speakers, a <a class="reference internal" href="appendices/glossary.html#glossary"><span class="std std-ref">glossary</span></a> lists the french translation of the technical terms used in the textbook.</p>
<p>This textbook is written with <a class="reference external" href="https://jupyterbook.org/">Jupyter Book</a> and is accessible everywhere from a computer, tablet or phone.
Nevertheless, it can be downloaded or printed.
To do that, save it to PDF by clicking on the icon <i class="fas fa-download"></i> on the top-right corner of the page.</p>
<p>Lastly, this course comes with <a class="reference external" href="https://moodle3.unistra.fr/course/view.php?id=7653">this Moodle page</a> (accessible only to my students).</p>
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