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Obtaining a texture-smoothing and edge-preserving filtered output is significant to image decomposition. Although the edge and the texture have salient difference in human vision, automatically distinguishing them is a difficult task, for they have similar intensity difference or gradient response. The state-of-the-art edge-preserving smoothing (EPS) based decomposition approaches are hard to obtain...
This paper proposes a memory binary particle swarm optimization algorithm (MBPSO) based on a new updating strategy. Unlike the traditional binary PSO, which updates the binary bits of a particle ignoring their previous status, MBPSO memorizes the bit status and updates them according to a new defined velocity. As such, precious historical information could be retained to guide the search. The velocity...
This paper proposes an efficient memetic clustering algorithm (MCA) for clustering based on particle swarm optimizer (PSO) and K-means. Particularly, PSO is used as a global search to allow fast exploration of the candidate cluster centers. PSO has strong ability to find high quality solutions within tractable time, but it suffers from slow-down convergence as the swarm approaching optima. K-means,...
QR code as a code which can be recognized quickly and in all directions, has been widely used in every walk of life. This paper proposed an approach to exactly locate the QR code, which based on the frame points of the QR code finder pattern to fit line in order to get the four frame lines of the QR code. Compared with commonly used HOUGH transform, our approach reduces a lot of memory and time consumption...
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