|
|
| IST3022 | Digital Image Processing | 4+0+0 | ECTS:6 | | Year / Semester | Spring Semester | | Level of Course | First 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 - 4 hours of lectures per week | | Lecturer | Prof. Dr. Orhan KESEMEN | | Co-Lecturer | Asist. Prof. Dr. Uğur Şevik | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | To learn image processing techniques using mathematics, statistics and computer science. Package program development skills to win. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | To easier understand Image processing programs. | 2,3,4,5,6,7,11 | 1,3 | | LO - 2 : | To learn Image processing techniques. | 1,4,10,11 | 1,3 | | LO - 3 : | To learn use of mathematics, andstatistics such as the theoretical sciences applications in the areas. | 2,4,5,7,8,9,10,11 | 1,3 | | LO - 4 : | Package to learn how to program development. | 7,9 | 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), LO : 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, contrast stretching, auto contrast and finally contrast, intensity transformation. Area Processes: convolution and correlation; blur; sharp; median, mode, max, min and other descriptive statistical methods on area process. Geometric Process: inverse mapping, interpolation, scaling, rotating, mirror and translation; Frame Process: arithmetic, bitwise. Integral Transform: one and two dimensional Fourier transform, amplitude, frequency, discrete Fourier transform and fast Fourier; Cosine and Hilbert transform; Walsh and Hadamard transform. |
| |
| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction to image processing, digitization and quantisation process; | | | Week 2 | Introduction to Csharp | | | Week 3 | Image Processing Using Csharp | | | 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 | Area Processes II: median, mode, and other statistical filters; | | | 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: Walsh and Hadamard transform. | | | Week 16 | End-of-term exam | | | |
| 1 | Orhan KESEMEN, C# ile Görüntü İşlemeye Giriş, (Baskıda) | | | |
| 1 | Rafael C. Gonzalez and Richard E. Woods, 1992; Digital Image Processing, Addision-Wesley, New York | | | 2 | Tinku Acharya and Ajoy K. Ray, 2005; Image Processing : Principles and Applications, Wiley, | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Homework/Assignment/Term-paper | 030405060708101112 | | 3 | 50 | | End-of-term exam | 16 | 31/05/2014 | 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 | 4 | 14 | 56 | | Sınıf dışı çalışma | 3 | 14 | 42 | | Ödev | 3 | 10 | 30 | | Dönem sonu sınavı için hazırlık | 6 | 1 | 6 | | Dönem sonu sınavı | 2 | 1 | 2 | | Total work load | | | 136 |
|