Implementing Outsourcing for Project Management in Information Technology
Keywords:
Salient object, automated detection, background removal, graph cut.Abstract
Automatic salient object detection is the process of segment the sali-ent object or useful
information from input images without any pre-vious knowledge and assumption of the content
of the corresponding images scene. It is used in many computer vision and computer graphics
application. Detecting salient object with complex back-ground and biased dataset is difficult
and challenging problem. In this manuscript, we proposed an effective and efficient supervised
method based on graph cuts to detect the salient object. The pro-posed method performs the
segmentation process directly on the in-put image without first converting it into binary form.
Therefore, the segmented salient object contains the same color space as the origi-nal input
image. The proposed method is tested on MSRA and DUT-OMRON benchmark datasets and
it performs better compared to existing methods.
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