Title :
Fast image labeling using local operators on mesh-connected computers
Author :
Alnuweiri, Hussein M. ; Kumar, V. K Prasanna
Author_Institution :
Dept. of Comput. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
fDate :
2/1/1991 12:00:00 AM
Abstract :
A new parallel algorithm is proposed for fat image labeling using local operators on image pixels. The algorithm can be implemented on an n×n mesh-connected computer such that, for any integer k in the range [1, log (2n)], the algorithm requires Θ(kn1k/) bits of local memory per processor and takes Θ(kn) time. Bit-serial processors and communication links can be used without affecting the asymptotic time complexity of the algorithm. The time complexity of the algorithm has very small leading constant factors, which makes it superior to previous mesh computer labeling algorithms for most practical image sizes (e.g. up to 4096×4096 images). Furthermore, the algorithm is based on using stacks that can be realized using very fast shift registers within each processing element
Keywords :
computational complexity; computerised picture processing; parallel algorithms; parallel architectures; asymptotic time complexity; bit-serial processors; communication links; computational complexity; computerised picture processing; image labeling; local operators; mesh-connected computers; parallel algorithm; parallel architectures; stacks; very fast shift registers; Graphics; Image analysis; Image processing; Image segmentation; Image texture analysis; Inspection; Labeling; Notice of Violation; Pattern recognition; Tree graphs;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on