{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Introduction to image processing" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": false }, "outputs": [], "source": [ "from IPython.display import HTML, display\n", "from helpers import chapters_to_html" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "

\n", "Outline\n", "

\n", "
    \n", "
  1. Preface
      2. \n", "
    1. Aims
    2. Integration
    3. Get involved
    4. Bokeh plots
    5. Practical works
    6. References
    \n", "
  2. Introduction
      3. \n", "
    1. Biological vision
    2. Image sensors
    3. Digital image
    \n", "
  3. Low-level image processing
      4. \n", "
    1. Point processing
    2. Linear filtering
    3. Non linear filtering
    4. Image restoration
    5. Edge detection
    \n", "
  4. Basic image analysis
      5. \n", "
    1. Image processing chain
    \n", "
  5. Image segmentation
      6. \n", "
    1. Histogram based image segmentation
    2. Border-based segmentation
    3. Region based segmentation
    4. Model-based segmentation
    5. Examples
    \n", "
  6. Morphomathematics
      7. \n", "
    1. Operators
    2. Combined operations
    3. The watershed transform
    4. Gray level morphology
    \n", "
  7. Object feature extraction
      8. \n", "
    1. Statistical features
    2. Contour features
    3. Moments
    4. Texture features
    \n", "
  8. Model-based segmentation
      9. \n", "
    1. Live-wire
    2. Active contour
    \n", "
  9. Vision
      10. \n", "
    \n", "
  10. Object tracking
      11. \n", "
    \n", "
  11. Object recognition
      12. \n", "
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