Isbn: 9786204954134 - text components segmentation with connected component analysis in dar: image processing & deep learning (8 risultati)

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2022

    620495413X / 9786204954134

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2022

    620495413X / 9786204954134

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    Taschenbuch. Condizione: Neu. Text Components Segmentation with Connected Component analysis in DAR | Image Processing & Deep Learning | Bipasha Chakrabarti Banik (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204954134 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2022

    620495413X / 9786204954134

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    Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2022

    620495413X / 9786204954134

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing Mai 2022, 2022

    620495413X / 9786204954134

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In computer vision image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels, also known as super-pixels). The goal of segmentation is to simplify and or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. More precisely, image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain characteristics. The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted from the image edge detection). Each of the pixels in a region are similar with respect to some characteristic or computed property, such as color, intensity or texture. Adjacent regions are significantly different with respect to the same characteristics. 52 pp. Englisch.

  • Lingua: Inglese

    Editore: LAP Lambert Academic Publishing, 2022

    620495413X / 9786204954134

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    Da: moluna, Greven, Germaniamoluna

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In computer vision image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels, also known as super-pixels). The goal of segmentation is to simplify and or change the representation of an image into something tha.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2022

    620495413X / 9786204954134

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    EUR 64,04

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In computer vision image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels, also known as super-pixels). The goal of segmentation is to simplify and or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. More precisely, image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain characteristics. The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted from the image edge detection). Each of the pixels in a region are similar with respect to some characteristic or computed property, such as color, intensity or texture. Adjacent regions are significantly different with respect to the same characteristics.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing Mai 2022, 2022

    620495413X / 9786204954134

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    EUR 43,90

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In computer vision image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels, also known as super-pixels). The goal of segmentation is to simplify and or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. More precisely, image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain characteristics. The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted from the image edge detection). Each of the pixels in a region are similar with respect to some characteristic or computed property, such as color, intensity or texture. Adjacent regions are significantly different with respect to the same characteristics.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.