Title
Structural similarity determines search time and detection probability
Author
Toet, A.
TNO Defensie en Veiligheid
Publication year
2010
Abstract
The recently introduced TSSIM clutter metric is currently the best predictor of human visual search performance for natural images (Chang and Zhang [1]). The TSSIM quantifies the similarity of a target to its background in terms luminance, contrast and structure. It correlates stronger with experimental mean search times and detection probabilities than other clutter metrics (Chang and Zhang [1,2]). Here we show that it is predominantly the structural similarity component of the TSSIM which determines human visual search performance, whereas the luminance and contrast components of the TSSIM show no relation with human performance. This result agrees with previous reports that human observers mainly rely on structural features to recognize image content. Since the structural similarity component of the TSSIM is equivalent to a matched filter, it appears that matched filtering predicts human visual performance when searching for a known target. © 2010 Elsevier B.V. All rights reserved.
Subject
Vision
Clutter
Detection probability
Detection time
Structural similarity index (SSIM)
Target structure similarity (TSSIM)
To reference this document use:
http://resolver.tudelft.nl/uuid:30997f5a-67c1-4584-b730-7dbde92dad6c
DOI
https://doi.org/10.1016/j.infrared.2010.09.003
TNO identifier
425179
ISSN
1350-4495
Source
Infrared Physics and Technology, 53 (6), 464-468
Document type
article