کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6863870 1439526 2018 21 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Saliency detection based on foreground appearance and background-prior
ترجمه فارسی عنوان
تشخیص حساسیت بر اساس ظاهر پیشین و پس زمینه قبل
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
Saliency detection has drawn increasing attention in the communities of computer vision and image processing. In this paper, we propose an effective saliency optimization scheme by taking account of the foreground appearance and background prior. First, a foreground appearance-based saliency is obtained by integrating the uniqueness and compactness of the GMM-decomposed soft abstraction. Second, a foreground-based background seed selection algorithm is proposed to obtain the enhanced background prior based saliency. It can well alleviate the influence of the on-boundary objects to the final saliency in conventional background prior based saliency algorithms. Third, the problem of foreground appearance and background prior-based saliency integration is formulated as a convex optimization problem. The optimal saliency map could be obtained through solving the optimization problem. Extensive experiments on five public databases demonstrate that the proposed method consistently outperforms the state-of-the-art saliency detection methods.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 301, 2 August 2018, Pages 46-61
نویسندگان
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