کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6938124 1449922 2018 38 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Saliency propagation with perceptual cues and background-excluded seeds
ترجمه فارسی عنوان
انتشار معنوی با نشانه های ادراکی و بذرهای دارای پس زمینه
کلمات کلیدی
تشخیص سلامت، نشانه ادراکی چارچوب مبتنی بر نمودار، پخش برچسب، بذر احتمال پیش بینی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی
Graph-based methods have shown their potentialities for saliency detection. In this paper, a graph-based framework is proposed for saliency detection, which incorporates perceptual cues into the framework and uses the background-excluded seeds to propagate saliency. Firstly, a graph is constructed by two perceptual cues, including proximity and similarity. Secondly, probable background nodes are generated by a novel background probability measure and used to pick out reliable seeds. Then a label propagation model is developed to diffuse saliency based on these reliable seeds. Lastly, another perceptual cue called rareness is integrated into a cost function to optimize the propagation result. Results on four datasets demonstrate that the proposed method achieves superior performance against fifteen state-of-the-art methods in terms of different evaluation metrics.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Visual Communication and Image Representation - Volume 54, July 2018, Pages 51-62
نویسندگان
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