Curriculum
- 15 Sections
- 59 Lessons
- 20 Weeks
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- Basics of Image Processing6
- 1.1Digital Image Representation (Pixels, Color Spaces, Histograms)
- 1.2Assesment – Digital image representation (pixels, color spaces, histograms)11 Questions
- 1.3Filters: Blurring, Sharpening, Edge Detection (Sobel, Canny)
- 1.4Assesment – Filters: blurring, sharpening, edge detection (Sobel, Canny)0 Questions
- 1.5Morphological Operations: Dilation, Erosion, Opening/Closing
- 1.6Libraries: OpenCV, Pillow
- Image Acquisition & Devices4
- Image Preprocessing Techniques4
- Feature Detection & Object Tracking4
- Classical ML for Vision4
- Visual Programming with Orange4
- Deep Learning Basics4
- Convolutional Neural Networks4
- Object Detection Models4
- Industrial Computer Vision Applications4
- Depth & 3D Vision4
- Image Segmentation4
- Hardware for Edge Vision3
- Edge Deployment Pipelines4
- Real-time Video Analytics4
Stream Processing and MQTT Integration
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