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Technische Universität München

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Earth Oriented Space Science and Technology

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Image Processing

(ECTS: 2; SWS: 2)

Lecturers

Univ.-Prof. Dr. Uwe Stilla
prerequisites   mathematics, signal processing
objectives   At the end of the module students will be able to apply basic concepts of image processing and manipulation in fields of image analysis, edge detection, segmentation and image quality improvement. These concepts are introduced with practical examples and exercises in the field of remote sensing. The students will have learned about the applications of image processing with respect to remote sensing. The exercises will be improved with interactive programming examples. These examples will give the students the possibility to apply their knowledge in small projects as a basis for their later work.
contents  

Image Properties, Sampling, Quantization, Storage of digital Images, Histogram, Correlation, Point Processing, Local Image Operators, Digital filter, Convolution, Edge Detection, Morphological operators, Global Image Operators, Correlated and uncorrelated noise, Geometric transformation, Bilinear interpolation, Segmentation, Hough transformation
literature   Haralick, Shapiro (1992): Computer and Robot Vision (Vol. 1). Addison-Wesley, New York.
Castleman (1995): Digital Image Processing. Prentice Hall, Englewood Cliff, New Jersey.