Double Feature Combination: Region Contrast for Visual Salient Object Detection

Abstract:

Visual saliency detection has become an important step between computer vision and digital image processing. Recent methods almost form a computational model based on color, which are difficult to overcome the shortcoming with cluttered and textured background. This paper proposes a novel salient object detection algorithm integrating with region color contrast and histograms of oriented gradients (HoG). Extensively experiments show that our algorithm outperforms other state-of-art saliency methods, yielding higher precision and better recall rate, even lower mean absolution error.

• Periodical: Applied Mechanics and Materials (Volumes 239-240)
• Pages: 811-815
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.239-240.811
• Online since: December 2012
• Authors: Zhi Hai Sun, Teng Song, Wen Hui Zhou, Hua Zhang
• Keywords: Feature Extraction, Object Detection, Visual Saliency

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