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

Authors:
Kenji Suzuki;Isao Horiba;Noboru Sugie
Affiliations:
Kurt Rossmann Laboratories for Radiologic Image Research, Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, MC 2026, Chicago, IL;Faculty of Information Science and Technology, Aichi Prefectural University, Nagakute, Aichi 480-1198, Japan;Faculty of Science and Technology, Meijo University, Tempaku, Nagoya 468-8502, Japan
Venue:
Computer Vision and Image Understanding
Year:
2003

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Abstract

This paper presents a fast algorithm for labeling connected components in binary images based on sequential local operations. A one-dimensional table, which memorizes label equivalences, is used for uniting equivalent labels successively during the operations in forward and backward raster directions. The proposed algorithm has a desirable characteristic: the execution time is directly proportional to the number of pixels in connected components in an image. By comparative evaluations, it has been shown that the efficiency of the proposed algorithm is superior to those of the conventional algorithms.