Training Information

Image Processing / Computer Vision Training
Duration: 10 Days (Beginner + Intermediate/Advanced), every day 09:00-12:00 Theory, 13:00-16:00 Practice
Level: Beginner + Intermediate/Advanced Technical

Participant Profile
This course is particularly suitable for:

• Software developers, engineers, technical students
• Those involved in AI / ML / Robotics projects
• Professionals working in visual product processing, media, security, healthcare, agriculture
• Those seeking integration of image processing with drone/robot control training
• University students, researchers

Prerequisites / Requirements

• Basic programming knowledge (Python preferred)
• Basic mathematics: Linear algebra, probability, statistics
• For those not familiar with image processing / computer vision fundamentals, a preparatory course will be provided
• Sufficient hardware to work on a computer (GPU is optional, simulation is possible)
• If necessary, basic knowledge of image processing / visual data libraries

Curriculum

Week 1: Beginner Level
Day 1: Image Basics and Representation

• What is a digital image, pixel, color space (RGB, HSV, grayscale), bit depth
• Image sources & formats
• Practice: Image loading, displaying, color conversions

Day 2: Filtering and Noise Reduction

• Convolution, low-pass/high-pass filters
• Noise types (Gaussian, Salt-and-Pepper)
• Practice: Adding and cleaning noise, filter comparison

Day 3: Edge and Corner Detection; Segmentation Basics

• Sobel, Canny edge detector; Hough transforms
• Basic segmentation (thresholding, region-based)
• Practice: Edge extraction, segmentation applications

Day 4: Image Transformations and Geometric Operations

• Image scaling, rotation, perspective transformation
• Image alignment, warping
• Practice: Transformation and alignment exercises

Day 5: Exploratory Image Analysis & Mini Project

• Histograms, color distribution, contrast/brightness adjustment
• Visualization techniques
• Project: Quality control / improvement in an image set

Week 2: Intermediate / Advanced Level
Day 6: Feature Descriptors & Matching

• Methods like SIFT, SURF, ORB
• Feature matching
• Practice: Panorama creation

Day 7: Image Processing with Deep Learning

• CNN architectures, transfer learning
• Practice: Classification with pretrained model

Day 8: Object Detection and Segmentation

• Object detection concepts (YOLO, SSD, Faster R-CNN)
• Semantic & instance segmentation
• Practice: Object detection and masking applications

Day 9: Video Images & Motion Analysis

• Optical flow, video frame analysis
• Tracking, motion prediction
• Practice: Motion detection via video

Day 10: Regulation / Ethics / Final Project

• Image content and privacy (KVKK, GDPR, etc.)
• Ethical use, copyright, security
• Project: Application presentation in the selected field

Training Outcomes

• Participants grasp image representation and basic processing techniques
• They apply filtering, edge detection, and segmentation
• They perform classification and object detection with deep learning models
• They carry out video and motion analysis
• They gain awareness of image processing and data privacy issues

Training Notes

• The instructor can tailor the course duration and content to the participant profile.
• Local regulations on image use, privacy, and personal data protection (such as KVKK, GDPR) will be covered in detail.
• Tools (OpenCV, TensorFlow, PyTorch, etc.) will be selected according to the infrastructure.
• If participants lack prerequisites (programming, mathematics / linear algebra), they will be directed to preparatory courses.
• At the end of the course, participants will be eligible to receive a university or institution-approved certificate.

The training is open to corporate collaboration (institution/company legal entity packages), and individual applications are not accepted. The training content can be re-planned according to the corporate participant profile and needs. After mutual discussions, the scope and method of the training (Face-to-Face, Online) will be determined, and the relevant processes will be completed. Once agreed, the suitable days and times for your institution's participants and our instructors will be determined, and the training venue will be finalized.