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---+!! Course %FORMFIELD{"Bezeichnung"}%


%TOC{depth="3"}%
%STARTSECTION{"no_toc"}%
---
*Responsible:* Prof. Dr. Thieling

---++ Course
---+++ Meets requirements of following modules(MID)
   * in active programs
      * [[BaET2012_IBV]]
      * [[BaTIN2012_IBV]]

---+++ Course Organization
<sticky>
  <table border="0">
    <tr valign="top">
      <td>
        <table border="1" cellpadding="2" cellspacing="0">
          <th colspan="2">Version</th>
          <tr>
            <td>created</td>
            <td>2011-10-14</td>
          </tr>
          <tr>
            <td>VID</td>
            <td>1</td>
          </tr>
          <tr>
            <td>valid from</td>
            <td>WS 2012/13</td>
          </tr>
          <tr>
            <td>valid to</td>
            <td/>
          </tr>
        </table>
      </td>
      <td>         </td>
      <td>
        <table border="1" cellpadding="2" cellspacing="0">
          <th colspan="2">Course identifiers</th>
          <tr>
            <td>Long name</td>
            <td>%FORMFIELD{"Bezeichnung"}%</td>
          </tr>
          <tr>
            <td>CID</td>
            <td>F07_IBV</td>
          </tr>
          <tr>
            <td>CEID (exam identifier)</td>
            <td/>
          </tr>
        </table>
      </td>
    </tr>
  </table>
</sticky><sticky>
  <table border="0">
    <tr valign="top">
      <td>
        <table border="1" cellpadding="2" cellspacing="0">
          <th colspan="2">Contact hours per week (SWS)</th>
          <tr>
            <td>Lecture</td>
            <td>%FORMFIELD{"VorlesungSWS"}%</td>
          </tr>
          <tr>
            <td>Exercise (unsplit)</td>
            <td>%FORMFIELD{"UebungGanzSWS"}%</td>
          </tr>
          <tr>
            <td>Exercise (split)</td>
            <td>%FORMFIELD{"UebungHalbSWS"}%</td>
          </tr>
          <tr>
            <td>Lab</td>
            <td>%FORMFIELD{"PraktikumSWS"}%</td>
          </tr>
          <tr>
            <td>Project</td>
            <td>%FORMFIELD{"ProjektSWS"}%</td>
          </tr>
          <tr>
            <td>Seminar</td>
            <td>%FORMFIELD{"SeminarSWS"}%</td>
          </tr>
          <tr>
            <td>Tutorial(voluntary)</td>
            <td>%FORMFIELD{"TutoriumSWS"}%</td>
          </tr>
        </table>
      </td>
      <td>    </td>
      <td>
        <table border="1" cellpadding="2" cellspacing="0">
          <th colspan="2">Total contact hours</th>
          <tr>
            <td>Lecture</td>
            <td>%FORMFIELD{"VorlesungPZ"}%</td>
          </tr>
          <tr>
            <td>Exercise (unsplit)</td>
            <td>%FORMFIELD{"UebungGanzPZ"}%</td>
          </tr>
          <tr>
            <td>Exercise (split)</td>
            <td>%FORMFIELD{"UebungHalbPZ"}%</td>
          </tr>
          <tr>
            <td>Lab</td>
            <td>%FORMFIELD{"PraktikumPZ"}%</td>
          </tr>
          <tr>
            <td>Project</td>
            <td>%FORMFIELD{"ProjektPZ"}%</td>
          </tr>
          <tr>
            <td>Seminar</td>
            <td>%FORMFIELD{"SeminarPZ"}%</td>
          </tr>
          <tr>
            <td>Tutorial (voluntary)</td>
            <td>%FORMFIELD{"TutoriumPZ"}%</td>
          </tr>
        </table>
      </td>
      <td>    </td>
      <td>
        <table border="1" cellpadding="2" cellspacing="0">
          <th colspan="2">Max. capacity</th>
          <tr>
            <td>Exercise (unsplit)</td>
            <td>%FORMFIELD{"UebungGanzTeilnehmer"}%</td>
          </tr>
          <tr>
            <td>Exercise (split)</td>
            <td>%FORMFIELD{"UebungHalbTeilnehmer"}%</td>
          </tr>
          <tr>
            <td>Lab</td>
            <td>%FORMFIELD{"PraktikumTeilnehmer"}%</td>
          </tr>
          <tr>
            <td>Project</td>
            <td>%FORMFIELD{"ProjektTeilnehmer"}%</td>
          </tr>
          <tr>
            <td>Seminar</td>
            <td>%FORMFIELD{"SeminarTeilnehmer"}%</td>
          </tr>
        </table>
      </td>
    </tr>
  </table>
</sticky>

*Total effort (hours):* %FORMFIELD{"Gesamtaufwand"}%

---++++ Instruction language
   * Deutsch

---++++ Study Level
   * %FORMFIELD{"Niveau"}%
---++++ Prerequisites
   * basic skills in signal processing
   * basic skills in Java and/or  C
   * basic skills in analysis and linear algebra

---++++ Textbooks, Recommended Reading
   * Rafael C. Gonzalez, Richard E. Woods, Digital Image Processing, Prentice Hall
   * Scott E Umbaugh, COMPUTER VISION and IMAGE PROCESSING: A Practical Approach Using CVIPtools, Prentice Hall
   * Wolfgang Abmayer, Einführung in die digitale Bildverarbeitung,Teubner

---++++ Instructors
   * Prof. Dr. Thieling



---++++ Supporting Scientific Staff
   * n.N.

---++++ Transcipt Entry
Industrial Image Processing

---+++ Assessment
<sticky>
  <table border="1" cellpadding="2" cellspacing="0">
    <th colspan="2">Type</th>
    <tr>
      <td>oE</td>
      <td>normal case (except on large numbers of assessments: wE</td>
    </tr>
  </table>
</sticky>

<sticky>
  <table border="1" cellpadding="2" cellspacing="0">
    <th colspan="2">Total effort [hours]</th>
    <tr>
      <td>oE</td>
      <td>10</td>
    </tr>
  </table>
</sticky>

*Frequency:* 3/Jahr

-----
---++ Course components

%STARTSECTION{"Vorlesung / Übung"}%
---+++ <u>Lecture/Exercise</u>

---++++ Objectives 
---+++++ Lerninhalte (Kenntnisse)
   * image construction, global image properties, and access to image data
      * graylevel and color images
      * global image properties,
         * mean value, variance, entropy
         * histogram, cumulative histogram
      * development environment
         * software design tools
            * compiler
            * linker
            * debugger
         * softwaretools for image processing and image analysis
            * softare-based access to image data and parameters
            * overview of the available ip-modules (moduls dor image processing and image analysis)
            * design and implementation of own ip-moduls
            * design of algorithmic chains based on ip-modules using visual programming
   * gray level transformation
      * linear gray level transformation, histogram spreading
      * non-linear gray level transformation
      * histogram equalization
      * local histogram equalization
      * look-up-table
   * analysis and processing of color images
      * technical and human color perception
      * additive and subtractive color mixing
      * RGB color space
      * HSI color space
      * transformation  RGB to HSI and vise versa
   * rank-order operators (non-linear filtering)
      * max, min, median
      * morphologische Operatoren
         * erosion, dilation
         * opening, closing
         * locating structures
   * analysis and processing in frequency domain
      * fourier analysis and synthesis of one-dimensional digital signals
         * real spectrum, imaginary spectrum
         * amplitude spectrum, phase spectrum
         * filtering in frequency domain
      * fourier analysis and synthesisf of images
         * real spectrum, imaginary spectrum
         * amplitude spectrum, phase spectrum
         * filtering in spatial domain
            * non directional filter
            * directional filter
            * inverse filtering
   * linear filtering in spatial domain
      * convolution, convolution, transfer function
      * typical convolution maks (mean, gauß, differencial-operator, sobel-operator, laplace-operator)
      * gradient and its calculation using differential-operator and sobel-operator
      * analysis and evaluation of the operator in the frequency domain
   * Tracking
      * normalized cross-correlation
      * without prediction
      * with prediction (kalman filter)
   * measuring of subpixel edges
      * one-dimensional
      * two-dimensional using gradient

---+++++ Acquired Skills
   * the presented methods for image enhancement can be
      * named
      * described
      * delineated in terms of application areas
      * evaluated in terms of advantages and disadvanteges
      * problemspecific parameterized 
   * the presented color spaces and corresponding  algorithms can be
      * named
      * described
      * delineated in terms of application areas
      * evaluated in terms of advantages and disadvanteges
      * problemspecific parameterized 
   * the presented methods for non liniar filtering can be
      * named
      * described
      * delineated in terms of application areas
      * evaluated in terms of advantages and disadvanteges
      * problemspecific parameterized 
   * Spectra of images and / or convolution masks can be
      * analyzed
      * designed
      * discussed
   * the presented methods for linear filtering can be (space and frequency domain)
      * named
      * described
      * delineated in terms of application areas
      * evaluated in terms of advantages and disadvanteges
      * problemspecific parameterized 


---++++ Additional Component Assessment 
   * none

%ENDSECTION{"Vorlesung / Übung"}%



%STARTSECTION{"Praktikum"}%
---+++ <u>Lab</u>

---++++ Objectives 
---+++++ Acquired Skills
   * purposeful handling of the software development environment
   * purposeful handling of the  softwaretools for image processing and image analysis

---+++++ Operational Competences
   * deal with complex tasks in a small team
   * derive complex solutions that can be implemented using image processing and image analysis


---++++ Additional Component Assessment 
   * none

%ENDSECTION{"Praktikum"}%




%ENDSECTION{"no_toc"}%
Topic-Revision: r5 - 17 Jan 2019, GeneratedContent
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