Representation of Image in Curvelet Domain with dominant Curvelet Subbands
نویسندگان
چکیده
In this paper authors describe the Curvelet representation of image (object) with dominant angular subbands in Curvelet domain and analyse about the energy distribution for each subbands at different angles. Curvelet transform is localized not only in position (the spatial domain) and scale (the frequency domain), but also in orientation. Here energy of dominant orientations (angles) in a given scale is used as a measure for object tracking and found better results as described in paper. Keywords— Curvelet transform, Ridgelet transform,
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