Paper
17 February 2010 Divisive normalization in channelized Hotelling observer
Author Affiliations +
Proceedings Volume 7527, Human Vision and Electronic Imaging XV; 75271K (2010) https://doi.org/10.1117/12.845078
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
Abstract
Channelized Hotelling observers have been evaluated in signal detection in medical images. However, these model observers fall short of overestimate of detection performance compared with human observers. Here, we present a modified channelized Hotelling observer with divisive normalization mechanism. In this model, images first traverse a series of Gabor filters of different orientations, phases and spatial frequencies. Then, the channels outputs pass through a nonlinear process and pool in several channels. Finally, these channels responses are normalized through a divisive operation. Human performances of nodule detection in chest radiography are evaluated by 2AFC experiments. The same detection tasks are performed by the model observers. The results show that the modified channelized Hotelling observer can well predict the human performances.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tao Luo and Xuanqin Mou "Divisive normalization in channelized Hotelling observer", Proc. SPIE 7527, Human Vision and Electronic Imaging XV, 75271K (17 February 2010); https://doi.org/10.1117/12.845078
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Cited by 4 scholarly publications.
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KEYWORDS
Spatial frequencies

Performance modeling

Visual process modeling

3D modeling

Nonlinear filtering

Chest

Radiography

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