Paper
25 September 2003 An improved fast algorithm for searching centroid of object in binary image
Hai-yan Zhang, Dong-mu Wang, Ke-ou Song
Author Affiliations +
Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538711
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China
Abstract
Searching object's centroid fast and correctly is the important part in pattern recognition and object tracking. So it is crucial to search centroid fast and correctly. Song suggests a method of searching centroid with "City Block Distance" template and difference image. But the method of Song has two disadvantages, so an improved fast algorithm for searching centroid of object in binary image is proposed in this paper. Searching time and area are reduced greatly by the improved algorithm. It is turned out that the improved method is faster than not improved one by the experiment.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hai-yan Zhang, Dong-mu Wang, and Ke-ou Song "An improved fast algorithm for searching centroid of object in binary image", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538711
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Cited by 3 scholarly publications.
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KEYWORDS
Binary data

Detection and tracking algorithms

Pattern recognition

Fourier transforms

Computer science

Computer simulations

Computer vision technology

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