人工智能
计算机视觉
RGB颜色模型
计算机科学
保险丝(电气)
频道(广播)
目标检测
深度图
显著性图
突出
Kadir–Brady显著性检测器
对象(语法)
中心(范畴论)
图像(数学)
模式识别(心理学)
工程类
化学
电气工程
结晶学
计算机网络
作者
Changan Zhu,Ge Li,Wenmin Wang,Ronggang Wang
标识
DOI:10.1109/iccvw.2017.178
摘要
Saliency detection aims to detect the most attractive objects in images, which has been widely used as a foundation for various multimedia applications. In this paper, we propose a novel salient object detection algorithm for RGB-D images using center-dark channel prior. First, we generate an initial saliency map based on a color saliency map and a depth saliency map of a given RGB-D image. Then, we generate a center-dark channel map based on a center saliency prior and a dark channel prior. Finally, we fuse the initial saliency map with the center dark channel map to generate the final saliency map. The proposed algorithm is evaluated on two public RGB-D datasets, and the experimental results show that our method outperforms the state-of-the-art methods.
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