PDF Course Catalog Deutsche Version: IBV

Version: 2 | Last Change: 23.09.2019 09:14 | Draft: 0 | Status: vom verantwortlichen Dozent freigegeben

Long name | Industrial Image Processing |
---|---|

Approving CModule | IBV_BaET, IBV_BaTIN |

Responsible |
Prof. Dr. Lothar Thieling
Professor Fakultät IME |

Level | Bachelor |

Semester in the year | summer semester |

Duration | Semester |

Hours in self-study | 78 |

ECTS | 5 |

Professors |
Prof. Dr. Lothar Thieling
Professor Fakultät IME |

Requirements | basic skills in signal processing basic skills in Java and/or C basic skills in analysis and linear algebra |

Language | German |

Separate final exam | Yes |

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

Scott E Umbaugh, COMPUTER VISION and IMAGE PROCESSING: A Practical Approach Using CVIPtools, Prentice Hall

Wolfgang Abmayer, Einführung in die digitale Bildverarbeitung,Teubner

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

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

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

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

Type | Attendance (h/Wk.) |
---|---|

Lecture | 2 |

Exercises (whole course) | 0 |

Exercises (shared course) | 0 |

Tutorial (voluntary) | 0 |

keine/none

1.) Develop programs to solve specific problems. 2.) Problem solving competence in the field of linear algebra and analysis. 3.) Representation of time-discrete signals in the time and frequency domain (DFT).

lecture foils (electronic)

tool chain for image processing

self-study tutorials for the tool chain

tool chain for image processing

self-study tutorials for the tool chain

none

purposeful handling of the tool chain for image processing

deal with complex tasks in a small team

derive complex solutions that can be implemented using image processing and image analysis

deal with complex tasks in a small team

derive complex solutions that can be implemented using image processing and image analysis

Type | Attendance (h/Wk.) |
---|---|

Practical training | 2 |

Tutorial (voluntary) | 0 |

keine/none

1.) Develop programs to solve specific problems. 2.) Problem solving competence in the field of linear algebra and analysis. 3.) Representation of time-discrete signals in the time and frequency domain (DFT).

problem and task description (electronic)

tool chain for image processing

self-study tutorials for the tool chain

tool chain for image processing

self-study tutorials for the tool chain

none

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