Attentional perceptual thresholds for manipulated digitized mammograms
Maeder, Anthony J. & Fookes, Clinton B. (2004) Attentional perceptual thresholds for manipulated digitized mammograms. In Medical imaging 2004. Image processing : 16-19 February 2004, San Diego, California, USA : SPIE International Symposium on Medical Imaging, 14-19 February 2004, San Diego, Calif..
|Accepted Version (PDF 222kB) |
Administrators only | Request a copy from author
This paper describes a series of experiments to investigate influence of perceptual response in skilled observers, due to subtle pixel intensity transforms in radiological images. Contrast and edge enhancement operations were applied to digitized mammograms, in order to determine thresholds at which variations in attentional behaviour not consciously identified by the observer were detected, during normal visual scanning procedures in a typical screening viewing situation. Continuous tracking of eye movements was undertaken to obtain patterns of fixation sequences and durations for three different observers, and both qualitative and quantitative analyses were applied to this data. Consistent thresholds at which attentional perturbation occurred were established based on levels of aggregated pixel errors determined by SNR values, across the different methods of image manipulation considered.
Impact and interest:
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Conference Paper|
|Keywords:||Attention, Fixation, Eye movement, image enhancement, mammogram screening|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Artificial Intelligence and Image Processing not elsewhere classified (080199)|
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
Past > Schools > School of Engineering Systems
|Copyright Owner:||Copyright 2004 SPIE|
|Copyright Statement:||Reproduced in accordance with the copyright policy of the publisher|
|Deposited On:||17 Feb 2009 11:18|
|Last Modified:||09 Jun 2010 23:22|
Repository Staff Only: item control page