Linear-time connected-component labeling based on sequential local operations

By Kenji Suzuki, Isao Horiba, Noboru Sugie. Computer Vision and Image Understanding, 2003

467 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/b1eaa8652bdc016f5319f38564daa06bd9be001b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Kesheng Wu
2. Kenji Suzuki
3. Ronald B. Morgan
4. Martin Stoll
5. G. Stewart

In Computer Vision and Pattern Recognition

1. Kesheng Wu
2. Kenji Suzuki
3. Yuyan Chao
4. Lifeng He

Citations in the corpus

• Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments (2019, unknown): “3) through connected-component labeling [49].”
• Fast connected-component labeling (2009, methodology): “Artificial images contain specialized patterns (stair-like, spirallike, saw-tooth-like, checker-board-like, and honeycomb-like connected components) [20] and noise images.”
• Spectral–Spatial Classification of Hyperspectral Imagery Based on Partitional Clustering Techniques (2009, unknown): “In the case of large-sized images, such algorithms as in [59] and [60] can be applied, as well as other sequential and parallel algorithms (references can”