Real-time multiple target centroid extractor

Li Chen; Mangzuo Shen

doi:10.1117/12.178945

5 July 1994 Real-time multiple target centroid extractor

Li Chen, Mangzuo Shen

Proceedings Volume 2221, Acquisition, Tracking, and Pointing VIII; (1994) https://doi.org/10.1117/12.178945
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

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.

Citation Download Citation

Li Chen and Mangzuo Shen "Real-time multiple target centroid extractor", Proc. SPIE 2221, Acquisition, Tracking, and Pointing VIII, (5 July 1994); https://doi.org/10.1117/12.178945

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available