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Analysis focuses on extracting meaningful insights from visual data. This includes identifying patterns, detecting objects, and analyzing features like colors, shapes, and textures. Image analysis helps businesses unlock value by enabling applications such as facial recognition, medical imaging, and quality control in manufacturing.
The design phase in image processing involves creating algorithms and workflows to manipulate and enhance images. This includes selecting suitable techniques like filtering, edge detection, or image segmentation. A well-designed process ensures that images are optimized for specific tasks, such as recognition, classification, or aesthetic enhancement.
Testing in image processing ensures the accuracy and efficiency of algorithms. This involves validating performance on diverse datasets, evaluating outputs for different image conditions, and assessing computational efficiency. Rigorous testing guarantees reliable and high-quality results across varied use cases.
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