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首页> 外文期刊>Journal of visual communication & image representation >Saliency detection using joint spatial-color constraint and multi-scale segmentation
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Saliency detection using joint spatial-color constraint and multi-scale segmentation

机译：使用联合空间颜色约束和多尺度分割的显着性检测

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摘要

In this paper, a novel method is proposed to detect salient regions in images. To measure pixel-level saliency, joint spatial-color constraint is defined, i.e., spatial constraint (SC), color double-opponent (CD) constraint and similarity distribution (SD) constraint. The SC constraint is designed to produce global contrast with ability to distinguish the difference between "center and surround". The CD constraint is introduced to extract intensive contrast of red-green and blue-yellow double opponency. The SD constraint is developed to detect the salient object and its background. A two-layer structure is adopted to merge the SC, CD and SD saliency into a saliency map. In order to obtain a consistent saliency map, the region-based saliency detection is performed by incorporating a multi-scale segmentation technique. The proposed method is evaluated on two image datasets. Experimental results show that the proposed method outperforms the state-of-the-art methods on salient region detection as well as human fixation prediction.
机译：本文提出了一种检测图像显着区域的新方法。为了测量像素级显着性，定义了联合空间颜色约束，即空间约束（SC），双色对立（CD）约束和相似度分布（SD）约束。 SC约束旨在产生全局对比度，并能够区分“中心和周围”之间的差异。引入CD约束条件来提取红绿和蓝黄双对手的强烈对比。 SD约束被开发来检测显着物体及其背景。采用两层结构将SC，CD和SD显着性合并为显着性图。为了获得一致的显着性图，通过结合多尺度分割技术来执行基于区域的显着性检测。该方法在两个图像数据集上进行了评估。实验结果表明，该方法在显着区域检测和人体注视预测方面均优于最新方法。

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