1. FIRST CYCLE - BACHELOR'S DEGREE
  2. FACULTY OF TECHNOLOGY
  3. BIOMEDICAL ENGINEERING DEPARTMENT
  4. 185 BIOMEDICAL ENGINEERING
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
BMM 346IMAGE PROCESSING2 + 26th Semester4

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Compulsory
Course Objective To teach the fundamentals of low- and mid-level image processing concepts including enhancement, restoration and compression of digital images. In this manner, to provide students with simulating digital image processing algorithms through extensive use of Matlab.
Course Content Image processing basics / Image enhancement in the spatial domain / Image enhancement in the frequency domain / Image restoration and reconstruction / Color image processing / Wavelets and multi-resolution processing / Image compression.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
11 He/She knows the fundamental concepts of image processing 2 He/She knows and applies image enhancement techniques 3 He/She knows and applies image restoration techniques 4 He/She knows and applies image compression 5 He/She knows the morphological image processing methods 6 He/She knows edge detection algorithms and feature extraction 7 He/She knows and applies image segmentation.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14
LO 001              
Sub Total              
Contribution00000000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14456
Mid-terms11010
Final examination11414
Practice (Lab, Professional Skills)12424
Total Work Load

ECTS Credit of the Course





104

4
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Spring1MUHAMMET ÜSAME ÖZİÇ
Details 2022-2023 Spring1EŞREF BOĞAR
Details 2021-2022 Spring1EŞREF BOĞAR
Details 2020-2021 Summer1METE OKAN ERDOĞAN
Details 2020-2021 Spring1EŞREF BOĞAR
Details 2019-2020 Spring1EŞREF BOĞAR


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
BMM 346 IMAGE PROCESSING 2 + 2 1 Turkish 2023-2024 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Asts. Prof. Dr. MUHAMMET ÜSAME ÖZİÇ muozic@pau.edu.tr TEK A0008 %70
Goals To teach the fundamentals of low- and mid-level image processing concepts including enhancement, restoration and compression of digital images. In this manner, to provide students with simulating digital image processing algorithms through extensive use of Matlab.
Content Image processing basics / Image enhancement in the spatial domain / Image enhancement in the frequency domain / Image restoration and reconstruction / Color image processing / Wavelets and multi-resolution processing / Image compression.
Topics
WeeksTopics
1 Introduction
2 Basic concepts
3 Basic and Coordinate Operations
4 Histogram and Thresholding
5 Bitwise Operators
6 Color Spaces
7 Color Image Processing
8 Filters
9 Morphological Operators
10 Frequency Domain
11 Object Properties
12 Video Processing
13 Visual Artificial Intelligence
14 Artificial Intelligence Applications in Image Processing
Materials
Materials are not specified.
Resources
ResourcesResources Language
Sayısal Görüntü İşleme, Rafael C. Gonzales, Richard E. Woods, PALME YAYINCILIKTürkçe
Digital image processing using MATLAB, Gonzales, R. C., Woods, R. E., & Eddins, S. L., Pearson Prentice Hall.English
Fundamentals of Digital Image Processing, Chris Solomon, Toby Breckon, WILEY-BLACKWELLEnglish
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam30Midterm Exam
Project20Project
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes