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Silo and Shadow are key services in digital imaging industry as they are like 2 pillars to make flawless image. Silo helps to extract the subject from the background while Shadow detection helps in ignoring some serious problems like object merging, object loss etc.

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For Silo, Unlike a traditional silhouette, the subject is lit, and the benefit of the silo is that the subject can be easily extracted from the background for a myriad of uses.

Shadow detection and removal is important since ignoring the existence of shadows may result in serious problems like object merging, object loss, misinterpretation and alteration of object shape in various visual processing applications like segmentation, scene analysis and tracking.