Adaptive Image Labeling Algorithm Using Non - recursive Flood - Fill Algorithm


The KIPS Transactions:PartB , Vol. 9, No. 3, pp. 337-342, Jun. 2002
10.3745/KIPSTB.2002.9.3.337,   PDF Download:

Abstract

This paper proposes a new adaptive image labeling algorithm for object analysis of the binary images. The proposed labeling algorithm need not merge/order of complex equivalent labels like classical labeling algorithm and the processing is done during only 1 pass. In addition, this algorithm can be extended for gray-level image easily. Experiment result with HIPR image library shows that the proposed algorithm process more than 2 times faster than compared algorithm.


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Cite this article
[IEEE Style]
D. H. Kim, D. K. Kang, E. Y. Cha, "Adaptive Image Labeling Algorithm Using Non - recursive Flood - Fill Algorithm," The KIPS Transactions:PartB , vol. 9, no. 3, pp. 337-342, 2002. DOI: 10.3745/KIPSTB.2002.9.3.337.

[ACM Style]
Do Hyeon Kim, Dong Koo Kang, and Eui Young Cha. 2002. Adaptive Image Labeling Algorithm Using Non - recursive Flood - Fill Algorithm. The KIPS Transactions:PartB , 9, 3, (2002), 337-342. DOI: 10.3745/KIPSTB.2002.9.3.337.