2013 IEEE International Conference on Image Processing, September 2013, pp.2489-2493
An automatic object extraction method is proposed exploiting the rich mathematical structure of quantum mechanics. First, a novel segmentation method based on the solutions of Schrödinger's equation is proposed. This powerful segmentation method allows us to model complex objects and inherent structures of edge, shape, and texture information along with the grey-level intensity uniformity, all in a single equation. Due to the large amount of segments extracted with the proposed method, the selection of the object segment is performed by maximizing a regularization energy function based on a recently proposed sub-segment analysis indicating the object boundaries. The results of the proposed automatic object extraction method exhibit such a promising accuracy that pushes the frontier in this field to the borders of the input-driven processing only - without the use of "object knowledge" aided by long-term human memory and intelligence.
Object Extraction ; Image Segmentation ; Schrödinger'S Equation ; Quantum Mechanics ; Applied Sciences
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