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Mosaic Detection Based on Edge Projection in Digital Video
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 Title & Authors
Mosaic Detection Based on Edge Projection in Digital Video
Jang, Seok-Woo; Huh, Moon-Haeng;
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 Abstract
In general, mosaic blocks are used to hide some specified areas, such as human faces and disgusting objects, in an input image when images are uploaded on a web-site or blog. This paper proposes a new algorithm for robustly detecting grid mosaic areas in an image based on the edge projection. The proposed algorithm first extracts the Canny edges from an input image. The algorithm then detects the candidate mosaic blocks based on horizontal and vertical edge projection. Subsequently, the algorithm obtains real mosaic areas from the candidate areas by eliminating the non-mosaic candidate regions through geometric features, such as size and compactness. The experimental results showed that the suggested algorithm detects mosaic areas in images more accurately than other existing methods. The suggested mosaic detection approach is expected to be utilized usefully in a variety of multimedia-related real application areas.
 Keywords
Mosaic blocks;Candidate regions;Performance Evaluation;Projection;
 Language
Korean
 Cited by
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