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Smoothing and edge detection have conflicting aims because smoothing aims to reduce noise and detail in an image to create a more uniform appearance, while edge detection seeks to highlight and identify abrupt changes in intensity or color that signify boundaries or features within the image. Smoothing can obscure these critical edges, making it harder to accurately detect them. Consequently, while smoothing enhances overall image quality, it can diminish the very details that edge detection relies on to function effectively. This inherent tension requires careful balancing in image processing tasks.

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2mo ago

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