Knowledge-based evaluation of the segmentation component in automatic pattern recognition systems

Laura Fulton Bennett

doi:10.1117/12.55782

1 February 1991 Knowledge-based evaluation of the segmentation component in automatic pattern recognition systems

Laura Fulton Bennett

Author Affiliations +

Optical Engineering, Vol. 30, Issue 2, (February 1991). https://doi.org/10.1117/12.55782

Abstract

Advances in segmentation algorithm design can be guided by the development of uniform methods for segmentation accuracy measurement. A representative set of approaches to segmentation accuracy measurement is presented, and performance is demonstrated on a prototype set of segmented imagery. Unlike the evaluation of the detection and classification phases of the automatic target recognition (ATR) process, segmentation evaluation remains an ill-defined problem in the absence of an absolute, correct segmentation reference. A dynamic assessment of image truth from multiple sources can reduce the uncertainty of the target reference. We describe two approaches to the measurement of segmentation accuracy that make use of internal characteristics of the image in the target reference. These measures begin to demonstrate that the truthing procedure in real-time systems is not necessarily a singlepass reference to a prior model of image truth, but an evolving set of criteria utilizing information from the unprocessed image and from intermediate stages of the segmentation process. Sample measures based on an independent determination of image truth, i.e., hand segmentation of the target regions by the human operator or the manipulation of models of expected target configuration, are also presented. The form of the sampIe measures can be optimized and integrated into a dynamic truthing process to achieve real-time management of the segmentation phase in ATR systems.

Citation Download Citation

Laura Fulton Bennett "Knowledge-based evaluation of the segmentation component in automatic pattern recognition systems," Optical Engineering 30(2), (1 February 1991). https://doi.org/10.1117/12.55782

Published: 1 February 1991

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