Deep learning has not killed traditional image processing or classical computer vision techniques. Instead, it has enhanced and, in many cases, complemented them. Deep learning excels in tasks like object detection, semantic segmentation, and image classification, where learning complex patterns from large datasets is crucial. However, traditional image processing techniques, such as edge detection, histogram equalization, and contour extraction, remain valuable for simpler tasks or preprocessing. In many practical applications, a combination of classical methods and deep learning provides the best results. For example, classical techniques are often used to preprocess images or reduce computational complexity before applying deep learning models. While deep learning has revolutionized the field of computer vision, traditional image processing methods are still widely used and relevant.
Is deep learning killing image processing/computer vision?
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