Optimal component labeling algorithms for mesh-connected computers and VLSI

Practical Algorithms for Image Component Labeling on SIMD Mesh Connected Computers

Position-invariant hierarchical image analysis

Spatial hierarchy is an appealing strategy for image analysis, but standard hierarchical methods give increasingly sparse, position dependent results with increasing level. This paper endows simple hierarchical techniqueswith positioninvariance by an architectural extension, broadening their scope with no increase in algorithmic complexity. The tree structure is extended intoan exhaustive hiera...

A Fast Algorithm for Image Component Labeling with Local Operators on Mesh Connected Computers

A new parallel algorithm for image component labeling with local operators on SIMD mesh connected computers is presented. This algorithm provides a positive answer to the open question whether there exists an O(n)–time and O(log n)–space local labeling algorithm on SIMD mesh connected computers. The algorithm uses a pipeline mechanism with stack–like data structures to achieve the lower bound o...

Parallel Algorithms for Gray-Scale Digitized Picture Component Labeling on a Mesh-Connected Computer

We consider the problem of labeling connected components in a gray-scale image so that every component is connected, the maximum difference in the gray-scale values of the pixels within any component does not exceed a given value, and no component can be merged with a neighboring component. We develop two asymptotically optimal 0(n) time algorithms for generating such labelings on a mesh-connec...

Algorithms Minimizing Peak Power on Mesh-Connected Systems

There are many situations in parallel computing where reducing power consumption is an important goal. We consider mesh-connected systems where each processor is connected to its neighbors in a regular grid, such as occurs in cellular automata, sensor networks, and some supercomputers, focusing on systems with myriad simple processors on a chip. Most algorithms for such computers assume that al...