Advanced Image Processing In The Earth Science

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

Advanced Geophysics Applications, Geophysics in Archeology, Gravity and Magnetic İnterpretation

Course Contents

The course covers the applications of the basic, conventional and advanced image processing techniques on the geophysical data, reveals the subsurface lineaments from the geophysical data, to establish a relationship between these lineaments and subsurface structures and MATLAB applications.

Weekly Schedule

1) Basic concepts in image processing, analog and digital signals, digital images, pixel, digitizing the analog signals, image sampling, quantization, image types and resolution
2) Operations in spatial domain, contrast, histogram operations, image thresholding, linear and nonlinear spatial filters, convolution concept
3) Operations in frequency domain, frequency space, Fourier transform, discrete Fourier transform, fast Fourier transform, low-pass filter, high-pass filter and band-pass filters
4) Morphological image processing, dilation, erosion, opening and closing operations
5) Convolutional filters and applications, directional filters
6) Edge detection and enhancement methods, and applications: total horizontal derivative, analytic signal, vertical derivative, total horizontal derivative of the vertical derivative
7) Parabola-based methods and applications
8) Midterm examination/Assessment
9) Tilt angle, tilt angle of the total horizontal derivative, normalized standard deviation, theta map methods and applications
10) Tilt angle, tilt angle of the total horizontal derivative, normalized standard deviation, theta map methods and applications
11) Structure tensor and its applications, eigenvalue and eigenvector concepts
12) Curvature method and its applications: Curvature technique, minimum curvature, maximum curvature, mean curvature, Gaussian curvature, positive curvature, negative curvature
13) Dip curvature, strike curvature, shape index, contour curvature, curvedness
14) Kuwahara filter and its applications
15) The effects of the Kuwahara filter on the derivative-based techniques and applications
16) Final examination

Recommended or Required Reading

1- G.T. Schuster, Signal and Image Processing in the Earth Sciences, University of Utah, 2004.
2- R.C. Gonzalez, R.E. Woods, Digital Image Processing, Pearson Education Limited, 2018.
3- P. Bakker, Image Structure Analysis for Seismic Interpretation, Dissertation, TU Delft, 2002.
4- A.M. Albora, O. Uçan, O. Osman, Jeofizik Mühendisliğinde Görüntü İşleme Teknikleri Uygulamaları, Nobel Yayın Dağıtım, 2006.

Planned Learning Activities and Teaching Methods

1) Lecture
2) Lecture
3) Lecture
4) Question-Answer
5) Question-Answer
6) Drill and Practice
7) Drill and Practice
8) Brain Storming
9) Brain Storming
10) Case Study
11) Case Study
12) Self Study
13) Self Study
14) Self Study

Assessment Methods and Criteria

Contribution of Semester Studies to Course Grade	50%
Number Percentage Semester Studies Midterm Examination 1 20% Presentation/Seminar 1 80%
Contribution of Final Examination to Course Grade	50%
Total	100%

Language of Instruction

Turkish

Work Placement(s)

Not Required