تم في هذا البحث تحديد مفهوم البروز البصري من الناحية البيولوجية و آلية توصيفه
في مجال علوم الحاسب باستخدام مفهوم خرائط البروز و طريقة استثمار هذه
الخرائط لاكتشاف الأغراض البارزة ضمن الصور الرقمية، كما تم إجراء مجموعة
من التجارب باستخدام بعض من خوارزميات توليد الخرائط و تحديد جودتها و دقتها
باستخدام معايير محددة و واضحة.
In this research, we define the concept of visual saliency in biology
and how it is described in computer science using the concept of
saliency maps, and how to use these maps to detect salient
objects in digital images. We also conduct experiments using
several algorithms to detect salient objects, and describe how to
quantify the quality of the results using clear and well-defined
standards.
References used
Achanta R. , Hemami S. , Estrada F. , Susstrunk S., 2009, Frequencytuned salient region detection,2009 IEEE Conference on Computer Vision and Pattern Recognition, No. Ic, P.P. 1597–1604
Arya R. , Singh N. , Agrawal R.K., 2016, A novel hybrid approach for salient object detection using local and global saliency in frequency domain,Multimedia Tools and Applications, Vol. 75,No. 14, P.P. 8267–8287
Borji A. , Cheng M.-M. , Jiang H. , Li J., 2015, Salient Object Detection: A Benchmark,IEEE Transactions on Image Processing, Vol. 24,No. 12, P.P. 5706–5722
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effectively way.
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