Abstract：
:This paper presents a new framework for capturing intrinsic visual search behavior of different observers in image understanding by analysing saccadic eye movements in feature space. The method is based on the information theory for identifying salient image features based on which visual search is performed. We demonstrate how to obtain feature space fixation density functions that are normalized to the image content along the scan paths. This allows a reliable identification of salient image features that can be mapped back to spatial space for highlighting regions of interest and attention selection. A two-color conjunction search experiment has been implemented to illustrate the theoretical framework of the proposed method including feature selection, hot spot detection, and back-projection. The practical value of the method is demonstrated with computed tomography image of centrilobular emphysema, and we discuss how the proposed framework can be used as a basis for decision support in medical image understanding.
journal_name
IEEE Trans Med Imagingjournal_title
IEEE transactions on medical imagingauthors
Hu XP,Dempere-Marco L,Yang GZdoi
10.1109/TMI.2003.816959subject
Has Abstractpub_date
2003-09-01 00:00:00pages
1152-62issue
9eissn
0278-0062issn
1558-254Xjournal_volume
22pub_type
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journal_title：IEEE transactions on medical imaging
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journal_title：IEEE transactions on medical imaging
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