Course Description

Image Processing Course is designed for learners who want to analyze and process digital images and develop practical projects.
Participants learn Python, OpenCV, NumPy, and basic image processing algorithms.
By the end, attendees can process, analyze image/video data and develop visual-based applications.

Keywords: image processing course, OpenCV, Python, computer vision, video analysis, image analysis.

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🧩 Course Details

• Type: Online (Live or Recorded)

• Total Duration: 30 Hours

• Sessions: 10 x 3 Hours

• Schedule: Weekday: Mon & Wed 19:00–22:00, Weekend: Sat 10:00–13:00

• Language: Turkish & English

• Certificate: E-Signed Certificate

• Format: Theory + Hands-on Projects + Q&A

• Tools: Python, OpenCV, NumPy, Matplotlib, Jupyter Notebook

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📚 Course Content – Modules & Goals

1. Introduction to Image Processing – Concepts, applications, pixels, colors

2. Python and Libraries – Python basics, NumPy/Matplotlib, OpenCV setup

3. Image Processing Techniques – Reading, writing images, filtering, edge detection, histograms

4. Video Processing & Analysis – Frame processing, motion detection, video filtering

5. Segmentation & Feature Extraction – Thresholding, masking, edge/corner detection, object features

6. Project Applications – Image/video projects, face detection, filter applications

7. Optimization & Performance – Memory, runtime, code efficiency

8. Certification & Assessment – Project evaluation, certificate

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👥 Who Can Attend?

• Individuals interested in image processing and computer vision

• Students or graduates with Python knowledge

• Professionals using image processing in AI or data analysis

• Developers creating image-based applications