Saliency Map Detection and Segmentation Based on Global Color Contrast

LIU Chen-chen; ZHANG Jian-qiu

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Saliency Map Detection and Segmentation Based on Global Color Contrast

更新时间：2026-09-04

- Saliency Map Detection and Segmentation Based on Global Color Contrast
- Vol. 34, Issue 12, Pages: 83-87(2017)
- 作者机构：
  
  复旦大学信息科学与工程学院智慧网络与系统研究中心和电子工程系,上海,200433
- 作者简介：
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- Published：2017
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刘臣辰, 张建秋. 全局颜色对比度检测和分割显著图的方法[J]. 微电子学与计算机, 2017, 34(12): 83-87.

LIU Chen-chen, ZHANG Jian-qiu. Saliency Map Detection and Segmentation Based on Global Color Contrast[J]. 2017, 34(12): 83-87.
刘臣辰, 张建秋. 全局颜色对比度检测和分割显著图的方法[J]. 微电子学与计算机, 2017, 34(12): 83-87. DOI：

LIU Chen-chen, ZHANG Jian-qiu. Saliency Map Detection and Segmentation Based on Global Color Contrast[J]. 2017, 34(12): 83-87. DOI：

摘要

为了有效地检测和分割图像中多个显著性目标

提出了全局颜色对比度检测和分割显著图的方法.该方法首先通过提取全局颜色对比度的特征

来获取初步的显著图

然后再进一步利用颜色离散度和空间信息进一步提高它们的显著性.以生成的显著图作为初始值

给出了利用迭代动态更新的阈值

来分割多个显著性目标的方法.利用公开Achanta数据库的实验结果表明此方法在ROC曲线上的表现优于文献报道中的方法

并且适用于多目标的检测与分割问题.

Abstract

In this paper

a novel saliency map detection and segmentation method is proposed to detect and segment multiple salient objects. The key idea behind this method is to abstract global color contrast feature to obtain preliminary saliency map

which is later improved by the color dispersion and space information. Based on the saliency map

this method is able to segment multiple salient objects using iteratively and dynamically computed threshold. The experimental results on Achanta database verify the effectiveness of this method for saliency detection and segmentation.

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Keywords

references

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Cheng M M, Mitra N J, Huang X, et al. Global contrast based salient region detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(3): 569-582. DOI: 569

Luo Y, Yuan J, Xue P, et al. Saliency density maximization for efficient visual objects discovery[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2011, 21(12): 1822-1834. DOI: 1822

黄虹, 张建秋. 彩色自然场景统计显著图模型[J]. 复旦学报(自然科学版), 2014, 53(1): 51-58. DOI: 51

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