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| IST7030 | Statistical Image Processing | 3+0+0 | ECTS:7.5 | | Year / Semester | Spring Semester | | Level of Course | Third Cycle | | Status | Elective | | Department | DEPARTMENT of STATISTICS and COMPUTER SCIENCES | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face, Practical | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | -- | | Co-Lecturer | None | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | To learn image processing techniques using mathematics, statistics and computer science. Image analysis methods related to the application. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | To easier understand Image processing programs. | 4,5,7 | 1,3 | | PO - 2 : | To learn Image processing techniques. | 4,5,7 | 1,3 | | PO - 3 : | To learn use of mathematics, andstatistics such as the theoretical sciences applications in the areas. | 4,5,7 | 1,3 | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| Introduction to image processing; use of components of color, color space, digitizing and quantization; Point Processes: arithmetic, logical, look up table, histogram equalization, histogram specification, contrast stretching, auto contrast and finally contrast, intensity transformation; Area Processes: convolution and correlation; blur; sharp; derivative, divergent, laplacian in edge detection; median, mode, max, min and other descriptive statistical methods on area process; Geometric Process: inverse mapping, interpolation, scaling, rotating, mirror and translation; affine, projective, bilinear transformation; Frame Process: arithmetic, bitwise, quadratic and other descriptive statistical methods transformation; Integral Transform: one and two dimensional Fourier transform, amplitude, frequency, real and imaginary component; discrete Fourier transform and fast Fourier; Cosine and Slant transform; Walsh and Hadamard transform; Radon and inverse Radon transform; Wavelet transform. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction to image processing, digitization and quantisation process; | | | Week 2 | Introduction to MATLAB | | | Week 3 | Image Processing Using MATLAB | | | Week 4 | The use of color components, color spaces, | | | Week 5 | Point process: arithmetic and binary operations, histogram equalization and matching, | | | Week 6 | Point processes II: the density transformation, contrast improvement; | | | Week 7 | Area Processes I: convolution and relationship concepts, | | | Week 8 | Mid-term exam | | | Week 9 | MIDTERM | | | Week 10 | Geometric transformations: interpolation scaling, rotation, transation, crop, miror; | | | Week 11 | Morphologic transformation: variable scaling, rotation and transation, | | | Week 12 | Frame operations, arithmetic, quadratic, complex, binary and proportional operations; | | | Week 13 | Integral transformations I: Cosine transform. | | | Week 14 | Integral transformations II: Fourier transform. | | | Week 15 | Integral transformations III: Fast Fourier transform.Integral transformations V: Wavelet transform | | | Week 16 | End-of-term exam | | | |
| 1 | Orhan KESEMEN, C# ile Görüntü İşlemeye Giriş, (Baskıda)
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| 1 | Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing, Addision-Wesley, 1992
| | | 2 | Tinku Acharya and Ajoy K. Ray, Image Processing : Principles and Applications, Wiley,2005
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| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Homework/Assignment/Term-paper | 03040506070810111213 | | 8 | 50 | | End-of-term exam | 16 | 02/01/2017 | 1 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 6 | 14 | 84 | | Ödev | 10 | 12 | 120 | | Dönem sonu sınavı için hazırlık | 12 | 1 | 12 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 259 |
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