What is the difference between computer vision and image processing?
Computer vision focuses on enabling machines to interpret and understand visual information, while image processing involves manipulating images to enhance or extract information.
Can you give me some examples of each?
Sure! An example of image processing is applying filters to enhance an image, while computer vision examples include facial recognition and object detection.
Are they used together in any applications?
Yes, they often work together. For instance, in autonomous vehicles, image processing enhances the images captured by cameras, and computer vision interprets the data to make driving decisions.
What are some common tools used in these fields?
Common tools for image processing include OpenCV and PIL, while TensorFlow and PyTorch are popular for computer vision tasks.
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