Masks are not always used in image processing because their application depends on the specific task at hand. For example, in tasks such as image classification or object detection, algorithms can often learn features directly from the entire image without the need for masking. Additionally, some techniques, like neural networks, can effectively generalize patterns without isolating specific regions. In cases where global context is more relevant than localized features, masks may be unnecessary.
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