Paper
24 November 2009 A new method for the extraction of region-of-interest based on visual attention
Xiaoguang Shao, Kun Gao, Guoqiang Ni
Author Affiliations +
Abstract
Region of interest (ROI) plays an important role in image analysis, yet traditional ROI extraction result may be different from human's subject feeling. In this paper, a new approach based on visual attention is proposed considering that primates have remarkable abilities to interpret complex scenes real-time. This approach uses visual attention model to locate salient points. As a result, the most salient region is selected and marked as ROI. The proposed work is based on bottom-up influences of attention and, therefore, purely unsupervised. Furthermore, experiment results of the ROI extraction mentioned in the paper are given and show perfect performance when comparing with other traditional approaches.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaoguang Shao, Kun Gao, and Guoqiang Ni "A new method for the extraction of region-of-interest based on visual attention", Proc. SPIE 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology, 75132X (24 November 2009); https://doi.org/10.1117/12.839937
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Visualization

Visual process modeling

Image analysis

Information visualization

MATLAB

Binary data

Image processing

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