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 FACULTY of SCIENCE / DEPARTMENT of STATISTICS and COMPUTER SCIENCES Course Catalog http://www.ktu.edu.tr/isbb Phone: +90 0462 +90 (462) 3773112 FENF
FACULTY of SCIENCE / DEPARTMENT of STATISTICS and COMPUTER SCIENCES /

 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, Group study Contact Hours 14 weeks - 4 hours of lectures per week Lecturer Doç. Dr. Orhan KESEMEN Co-Lecturer DOCTOR LECTURER Uğur ŞEVİK 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
 Contents of the Course
 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 Area Processes II: median, mode, and other statistical filters; Week 9 Mid-term exam 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
 Textbook / Material
 1 Orhan KESEMEN, C# ile Görüntü İşlemeye Giriş, (Baskıda)