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Erschienen in:
Machine Vision for Industrial Applications Kapitel lesen Erstes Kapitel lesen

2012 | OriginalPaper | Buchkapitel

Morphological Image Processing

verfasst von : Dr. Bruce G. Batchelor, Dr. Frederick M. Waltz

Erschienen in: Machine Vision Handbook

Verlag: Springer London

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Abstract

Morphology applies certain simple rules and shapes, such as squares, circles, diamonds, cubes and spheres, to process images. The objective is usually to identify features of interest in images as a prelude to performing high-level inspection, or machining, functions. Navigating around complex objects is facilitated using ‘anchor point’ features detected by morphology. The chapter begins by defining four basic morphology operations for binary images: erosion, dilation, opening, and closing. The application of these operations to analysing images from real-world vision tasks is discussed, as are techniques for fast implementation. Further operations akin to morphology are also described, including skeletonisation, hit-and-miss transform, and binary template matching. The extension of binary morphology into grey-scale morphology is also described and illustrated.

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Vorheriges Kapitel Object Location Using the HOUGH Transform
Nächstes Kapitel Image Processing Using Finite-State Machines
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Metadaten
Titel
Morphological Image Processing
verfasst von
Dr. Bruce G. Batchelor
Dr. Frederick M. Waltz
Copyright-Jahr
2012
Verlag
Springer London
Buch
Machine Vision Handbook

Print ISBN: 978-1-84996-168-4

Electronic ISBN: 978-1-84996-169-1

Copyright-Jahr: 2012

DOI
https://doi.org/10.1007/978-1-84996-169-1_19

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