Image and Scene Analysis

Authored by: Peters James F.

Encyclopedia of Image Processing

Print publication date:  November  2018
Online publication date:  November  2018

Print ISBN: 9781482244908
eBook ISBN: 9781351032742
Adobe ISBN:

10.1201/9781351032742-140000493

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Abstract

To facilitate image and scene analysis, a digital image can be viewed as a set of points (pixels) susceptible to the whole spectrum of mathematical structures. These structures include image neighborhoods, image clusters, image segments, image tessellations, collections of image segment centroids, sets of points nearest a particular image point such as a region centroid, image regions gathered together as near sets, adjacent image regions, and the geometry of polygonal image regions. The fact that structured images reveal hidden information in images is the main motivation for structuring an image. Structured images are then analyzed in terms of their component parts such as subsets of image regions, local neighborhoods, regional topologies, nearness and remoteness of sets, local convex sets, and mappings between image structures. The combination of traditional image analysis strategies and the more recent topology of digital images leads to a more complete view of digital images. In addition, the structured view of images facilitates the detection of hidden image patterns in image scenes as well as the solution of pattern recognition problems common in the study of digital images.

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