Title :
The chain pyramid: hierarchical contour processing
Author :
Meer, Peter ; Sher, C. Allen ; Rosenfeld, Azriel
Author_Institution :
Center for Autom. Res., Maryland Univ., College Park, MD, USA
fDate :
4/1/1990 12:00:00 AM
Abstract :
A novel hierarchical approach toward fast parallel processing of chain-codable contours is presented. The environment, called the chain pyramid, is similar to a regular nonoverlapping image pyramid structure. The artifacts of contour processing on pyramids are eliminated by a probabilistic allocation algorithm. Building of the chain pyramid is modular, and for different applications new algorithms can be incorporated. Two applications are described: smoothing of multiscale curves and gap bridging in fragmented data. The latter is also employed for the treatment of branch points in the input contours. A preprocessing module allowing the application of the chain pyramid to raw edge data is also described. The chain pyramid makes possible fast, O[log(image-size)], computation of contour representation in discrete scale-space
Keywords :
computerised picture processing; parallel processing; chain pyramid; chain-codable contours; computerised picture processing; fragmented data; gap bridging; hierarchical contour processing; multiscale curves; parallel processing; probabilistic allocation algorithm; raw edge data; smoothing; Buildings; Data mining; Digital images; Image analysis; Parallel architectures; Parallel processing; Pattern recognition; Pixel; Shape; Smoothing methods;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on