Salient Region Detection by Fusing Foreground and Background Cues Extracted from Single Image
المؤلفون المشاركون
Zhou, Qiangqiang
Zhao, Weidong
Zhang, Lin
Wang, Zhicheng
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-18، 18ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-10-19
دولة النشر
مصر
عدد الصفحات
18
التخصصات الرئيسية
الملخص EN
Saliency detection is an important preprocessing step in many application fields such as computer vision, robotics, and graphics to reduce computational cost by focusing on significant positions and neglecting the nonsignificant in the scene.
Different from most previous methods which mainly utilize the contrast of low-level features, various feature maps are fused in a simple linear weighting form.
In this paper, we propose a novel salient object detection algorithm which takes both background and foreground cues into consideration and integrate a bottom-up coarse salient regions extraction and a top-down background measure via boundary labels propagation into a unified optimization framework to acquire a refined saliency detection result.
Wherein the coarse saliency map is also fused by three components, the first is local contrast map which is in more accordance with the psychological law, the second is global frequency prior map, and the third is global color distribution map.
During the formation of background map, first we construct an affinity matrix and select some nodes which lie on border as labels to represent the background and then carry out a propagation to generate the regional background map.
The evaluation of the proposed model has been implemented on four datasets.
As demonstrated in the experiments, our proposed method outperforms most existing saliency detection models with a robust performance.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhou, Qiangqiang& Zhao, Weidong& Zhang, Lin& Wang, Zhicheng. 2016. Salient Region Detection by Fusing Foreground and Background Cues Extracted from Single Image. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-18.
https://search.emarefa.net/detail/BIM-1111843
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhou, Qiangqiang…[et al.]. Salient Region Detection by Fusing Foreground and Background Cues Extracted from Single Image. Mathematical Problems in Engineering No. 2016 (2016), pp.1-18.
https://search.emarefa.net/detail/BIM-1111843
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhou, Qiangqiang& Zhao, Weidong& Zhang, Lin& Wang, Zhicheng. Salient Region Detection by Fusing Foreground and Background Cues Extracted from Single Image. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-18.
https://search.emarefa.net/detail/BIM-1111843
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1111843
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر