Saliency Detection via the Improved Hierarchical Principal Component Analysis Method

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 or...

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Bibliographic Details

Published in:	Wireless communications and mobile computing Vol. 2020; no. 2020; pp. 1 - 12
Main Authors:	Ghabally, Mike, Masri, Christina, Tantak, Nour, Ward, Fadi, Omar, Ghefar, Gennatas, Constantine, Chen, Yuantao, Chammout, Anwar
Format:	Journal Article
Language:	English
Published:	Cairo, Egypt Hindawi Publishing Corporation 2020 Hindawi John Wiley & Sons, Inc
Subjects:	Accuracy Algorithms Background noise Color Color matching Efficiency Gray scale Ground truth Machine learning Methods Object recognition Principal components analysis Researchers Salience
ISSN:	1530-8669, 1530-8677
Online Access:	Get full text
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