29 August 2016 Structure extraction and region contrast based salient object detection
Author Affiliations +
Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100330K (2016) https://doi.org/10.1117/12.2244930
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China
Abstract
In this paper, we propose a novel salient object detection approach, which aims in suppressing distractions caused by the small scale pattern in the background and foreground. First, we employ a structure extraction algorithm as a preprocessing step to smooth the textures, eliminate high frequency components and retain the image’s main structure information. Second, we segment the texture maps are computed and fused according to the color contrast and center prior cues. To better exploit each pixel’s color and position information, we refine the fused saliency map. Experiments on two popular benchmark datasets demonstrate that our proposed approach achieves state-of-the-art performance compared with sixteen other state-of-the-art methods in terms of three popular evaluation measures, i.e., Precision and Recall curve, Area Under ROC Curve and F-measure value.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qing Zhang, Jiajun Lin, Zhigang Xie, "Structure extraction and region contrast based salient object detection", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100330K (29 August 2016); doi: 10.1117/12.2244930; https://doi.org/10.1117/12.2244930
PROCEEDINGS
8 PAGES


SHARE
Back to Top