Detecting image primitives using feature pyramids
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Cited by (9)
Some new topological properties of the triangular pyramid networks
2013, Information SciencesCitation Excerpt :A processor interconnection network or a communications network can be modeled by a graph G, in which every vertex corresponds to a processor or a switching element, and every edge corresponds to a communication link. A pyramid network (abbreviated to pyramid) is one of the important network topologies, as it has been used as both a hardware architecture and a software structure for parallel and network computing, image processing, and computer vision [3,11,21,22,31]. A new pyramidal network, the triangular pyramid (abbreviated to tripy), was proposed by Razavi and Sarbazi-Azad in [30].
Two-node-Hamiltonicity of enhanced pyramid networks
2010, Information SciencesUsing resolution pyramids for watershed image segmentation
2007, Image and Vision ComputingCitation Excerpt :G1 is interpreted as a 3D landscape, where the grey-level g of the pixel in position (x, y), is used as the third coordinate in the landscape. Pyramids are well known multi-resolution representation systems; they provide from coarse to fine representations of a discrete image [7], and have been employed for a number of applications, such as line-drawing analysis or object contour extraction [8–13] and segmentation [14–18]. The general regular pyramid construction strategy is based on the use of a uniform subdivision rule that associates to fixed size regions in the image at a given resolution, single pixels in the image at immediately lower resolution.
Image analysis and computer vision: 1998
1999, Computer Vision and Image UnderstandingWhole blood viscosity modeling using power law, Casson, and Carreau Yasuda models integrated with image scanning U-tube viscometer technique
2017, Songklanakarin Journal of Science and TechnologyAcquired brain injury cognitive dysfunctional profile based on neuropsychological knowledge and medical imaging studies
2014, 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014
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