Moving visual focus in salient object segmentation
Moving visual focus in salient object segmentation
复制标题
显着对象分割中移动视觉焦点
DOI：
10.1049/iet-ipr.2014.0987
复制
发表时间：
2015
影响因子：
2.3
通讯作者：
Yubo Yuan
中科院分区：
文献类型：
--
作者：
Zhihua Chen;Yi Liu;Xiaolong Xiao;Fangli Ying;Jing Zhang;Yubo Yuan
显著检测在图像分割、目标检测和检索中起着重要的作用，近年来在计算机视觉领域受到越来越多的关注。现有的大多数显著度检测算法还没有考虑视觉焦点漂移的影响。本文提出了一种新的运动区域对比度(MRC)算法来分析图像的显著性。MRC算法建立在移动VF的新概念上。初始VF被定义为图像的几何中心。然后通过焦点移动技术迭代计算VF，其中使用显著引力模型来确定移动方向。根据最终的VF得到显著区域。实验是在Achanta发布的1000幅图像的数据集上进行的。实验结果表明，该算法在性能上有明显的提高，并优于其他11种流行的算法。
Saliency detection plays an important role in image segmentation, object detection and retrieval, which attracts more attention in the field of computer vision recently. Most existing saliency detection algorithms have not considered the influence of visual focus (VF) shifting yet. In this study, a novel algorithm named moving region contrast (MRC) is proposed to analyse image saliency. The algorithm MRC is built on a novel concept of moving VF. The initial VF is defined as the geometric centre of the image. Then the VF is calculated iteratively by focus-moving technique where a saliency gravitation model is employed to determine the moving direction. The salient region is obtained according to the final VF. The experiments are conducted on the dataset with 1000 images released by Achanta. Experimental results show that the proposed algorithm achieves marked improvements in performance and outperforms other 11 popular algorithms.