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1989 | OriginalPaper | Buchkapitel

Image Segmentation with Neurocomputers

verfasst von : G. L. Bilbro, Mark White, Wesley Snyder

Erschienen in: Neural Computers

Verlag: Springer Berlin Heidelberg

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Our ultimate application interest is the automated understanding of images, especially non-biological images such as range or synthetic aperture radar. In this report, we describe one aspect of the processing of such images, segmentation, and show that one can design a neural network to perform this computation. An important step14 in image analysis is segmentation. An image is an array of discrete sampled values called pixels. An image is understood when the objects portrayed in that image are recognized3 or at least characterized. An object is characterized in terms of the segments of the image that it subtends. An image segment1,6 is a collection of pixels that satisfies certain conditions of adjacency and similarity.

Metadaten
Titel
Image Segmentation with Neurocomputers
verfasst von
G. L. Bilbro
Mark White
Wesley Snyder
Copyright-Jahr
1989
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-83740-1_9

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