Paper
2 December 2011 A novel high-resolution image connected components labeling method
Yebin Fan, Hualong Zhao
Author Affiliations +
Proceedings Volume 8004, MIPPR 2011: Pattern Recognition and Computer Vision; 800414 (2011) https://doi.org/10.1117/12.902132
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
Abstract
A novel labeling algorithm is proposed in this paper for high-resolution image connected components labeling. The proposed method successfully solves the labeling problem in the case that the computer memory capacity is less than required for the existing algorithms. Unlike the conventional algorithms that have to load the entire image into memory for labeling, our algorithm can finish the labeling task with the memory requirement of only two image rows size. Comparison and tests for high-resolution images are performed with the state-of-the-art algorithm. The proposed algorithm achieves significant performance improvement for high-resolution images labeling.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yebin Fan and Hualong Zhao "A novel high-resolution image connected components labeling method", Proc. SPIE 8004, MIPPR 2011: Pattern Recognition and Computer Vision, 800414 (2 December 2011); https://doi.org/10.1117/12.902132
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KEYWORDS
Evolutionary algorithms

Image processing

Algorithm development

Detection and tracking algorithms

Computer vision technology

Machine vision

Pattern recognition

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