期刊论文

Chen, Yuantao

英文

Wireless Communications and Mobile Computing

1530-8669

2020

2020

8822777:1-8822777:12

10.1155/2020/8822777

National Natural Science Foundation of ChinaNational Natural Science Foundation of China [61972056, 61972212, 61402053, 61981340416]; Open Research Fund of Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation [2015TP1005]; Changsha Science and Technology Planning [KQ1703018, KQ1706064, KQ1703018-01, KQ1703018-04]; Research Foundation of Education Bureau of Hunan Province [17A007, 19B005]; Changsha Industrial Science and Technology [2017-7]; Natural Science Foundation of Jiangsu ProvinceJiangsu Planned Projects for Postdoctoral Research FundsNatural Science Foundation of Jiangsu Province [BK20190089]; Junior Faculty Development Program Project of Changsha University of Science and Technology [2019QJCZ011]

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Aiming at the problems of intensive background noise, low accuracy, and high computational complexity of the current significant object detection methods, the visual saliency detection algorithm based on Hierarchical Principal Component Analysis (HPCA) has been proposed in the paper. Firstly, the original RGB image has been converted to a grayscale image, and the original grayscale image has been divided into eight layers by the bit surface stratification technique. Each image layer contains significant object information matching the layer ima...