Titlebook: Computational Texture and Patterns; From Textons to Deep Kristin J. Dana Book 2018 Springer Nature Switzerland AG 2018

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Logic Functions with Various Properties,ists [1–3, 13, 25, 26, 81, 194]. Our intrigue with visual patterns has an analogy to the perception of a musical chord; the spatial arrangement of shades and colors gives an appealing perceptual impression. Digital imagery is now abundant in science, medicine, industry, business, and everyday life.

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Robert Shorten,Oliver Mason,Kai Wulfftput of the segmentation encodes each distinct region with a unique label that is typically illustrated with an image of the segmentation map where each region is colored according to its label. When segmentation is combined with recognition, each labeled region also has a . indicating what object c

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Blocking for Single-Stage Resource Sharing it can create new instances of a texture class. Texture has an element of randomness, and two instances are not spatially identical. The probabilistic distribution of features along with a framework for spatial organization defines the texture class so that a particular image of a texture is an ins

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Switching in Semiconductor Diodes video feeds, videos uploaded to YouTube, ImageNet, and archived digital photographs of art and textures. For example, the open access at the Metropolitan Museum of Art (metmuseum.org/openaccess) provides over 375,000 digital photographs of artwork in the collection. Satellite imagery is available f

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Computational Texture and Patterns978-3-031-01823-7Series ISSN 2153-1056 Series E-ISSN 2153-1064

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Experimental Nanostructures,s mechanical properties and applications of nanomechanical devices. The structures that we have chosen to describe here were almost all fabricated using semiconductor processing techniques, developed for integrated circuit fabrication, as this is the most straightforward and controllable method for

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