Extraction of features from images using video feedback

Bradley G. Boone; Oodaye B. Shukla; David H. Terry

doi:10.1117/12.44896

1 August 1991 Extraction of features from images using video feedback

Bradley G. Boone, Oodaye B. Shukla, David H. Terry

Proceedings Volume 1471, Automatic Object Recognition; (1991) https://doi.org/10.1117/12.44896
Event: Orlando '91, 1991, Orlando, FL, United States

Abstract

This paper describes the results of using video feedback to support the calculation of the radon transform and angular correlation. Application of this type of optical processor to the extraction of features from synthetic aperture radar imagery of ships is described. By theoretical analysis and experimental evaluation of the optical architecture outputs (using some digital post processing) it is shown that the internal structure of objects, their primitive dimensions, and even their boundary can be obtained. In particular, the power of angular correlation to extract object length, width, area, aspect ratio, orientation and boundary from suitably thresholded images is shown. Alternative techniques to extract the object boundary based on angular correlation are discussed, including direct optical computation as well as digital deconvolution. Simple optical shapes, such as squares, rectangles, and triangles were used to initially compare the optical architecture outputs with digital baseline calculations. In addition, the test and evaluation of the optical processor using simple synthetic models of ship data is discussed. The results of a study that uses object primitives (derivable from angular correlation) in conjunction with the Radon transform (along the longitudinal axis) to classify ships using a backpropagation neural network also are described. A discussion of these results is presented pertaining to their broader application to optical parts inspection and to feature extraction from imaging infrared surveillance sensors. The practical implementation of such a processor in compact form using lenslet array optics also is discussed.

Citation Download Citation

Bradley G. Boone, Oodaye B. Shukla, and David H. Terry "Extraction of features from images using video feedback", Proc. SPIE 1471, Automatic Object Recognition, (1 August 1991); https://doi.org/10.1117/12.44896

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
14 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Video

Radon transform

Feature extraction

Object recognition

Radon

Synthetic aperture radar

Video surveillance

Show All Keywords

Keywords/Phrases

Search In:

Publication Years