5 July 1994 Real-time multiple target centroid extractor
Author Affiliations +
The extracting of multiple targets in a field of view (FOV) is one of the key problems of the acquisition, tracking, and pointing technique, where a large number of computation and complicated operations must be done. In this paper, a new real- time multiple target centroid extractor is presented. The basic idea is that by using hardware circuit performing image segmentation and horizontal neighborhood analysis, the interesting target pixels are extracted from the raw image, then a digital signal processor carries out the vertical neighborhood analysis of target pixels and calculation of multiple target parameters. An algorithm of target pixels neighborhood analysis is presented for both convex and concave target shapes. A prototype system has been built which can extract parameters of about 100 targets in each FOV, offering centroid and average intensity for each target in the FOV from video signal in real- time.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Li Chen and Mangzuo Shen "Real-time multiple target centroid extractor", Proc. SPIE 2221, Acquisition, Tracking, and Pointing VIII, (5 July 1994); doi: 10.1117/12.178945; https://doi.org/10.1117/12.178945


Architecture Of High Speed Image Processing System
Proceedings of SPIE (January 17 1988)
Design of video auto focusing based on image processing
Proceedings of SPIE (January 19 2006)
A Multi-Processor Accelerator for 2D Image Handling
Proceedings of SPIE (October 31 1989)
Searching and tracking of high-speed target
Proceedings of SPIE (September 24 2003)

Back to Top