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This introductory course presents eight fundamental image-processing algorithms through an interactive webcam demonstration. It focuses on how thresholding, filtering, convolutions, edge detection, morphological operations, and locally adaptive thresholding work on 2D pixel data.
Syllabus
Intro
THRESHOLDING
MOTION
LOW PASS TEMPORAL FILTERING
CONVOLUTION
SOBEL EDGE DETECT
MORPHOLOGICAL OPERATIONS
LOCALLY ADAPTIVE THRESHOL
Taught by
javidx9
Reviews
5.0 rating, based on 1 Class Central review
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Bits of Image Processing You Should Know” is a well-structured and beginner-friendly course that introduces essential concepts of digital image processing. It explains fundamentals like filtering, edge detection, thresholding, and color models in a clear and practical manner. The lessons are concise, making it easy to follow even without a strong math background. Real-world examples and hands-on exercises help build intuition and confidence. The course is ideal for students, beginners in computer vision, and anyone curious about how images are processed by computers. Overall, it delivers solid foundational knowledge and prepares learners for more advanced topics in the field.