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Overview of the image-processing pipeline. An image is first passed through a fault-detection system. If the droplet is not faulty, the droplet is segmented, corrected for lighting and shadow effects, and its boundaries are extended radially. Features are derived using the texton method (see §2.2) and are used to score the image with a random forest classifier.
