Image Processing vs Computer Vision 7. Image Processing Example 1) Rescaling: zoom in, zoom out, cropping 2) Correcting illumination: brightness and contrast 3) Color manipulations: black and white, gray-scale, HSV, RGB, BGR 4) Filter: mean, median, low pass, high pass, gaussian, laplacian 5) Edge detection Original Sobel Laplacian Canny 8. Image Processing Example 6) Morphology: - Erode (local minimum) - Dilate (local maximum) - Opening (erosion then dilation) - Closing (dilation then erosion) - Morphology Gradient (MG) (difference between dilation and erosion) - Top Hat (TH) (difference between image and opening) - Black Hat (difference between image and closing) 9. Computer Vision Example Scene modeling Object detection Object recognition Object tracking Pose estimation Motion estimation Image restoration 10. Artificial Intelligence (AI) AI is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by humans or animals.

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