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Proceedings Paper

Gray connected components and image segmentation
Author(s): Yang Wang; Prabir Bhattacharya
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Paper Abstract

A new definition for the connected components of gray images that takes into account both the gray values of the pixels and the differences of the gray values of the neighboring pixels is investigated. Our definition depends on two parameters (epsilon) and (delta) and so we call these components the ((epsilon) , (delta) )-components. We describe a method to find the ((epsilon) , (delta) )-components for a given image. We discuss the applications of (epsilon) , (delta) )-components to segmentation and understanding of gray images. We describe a method to study images in an intermediate level through these component histograms. For appropriate values of (epsilon) and (delta) , and object in an image may be represented by this component. We discuss a method to adjust the values of (epsilon) and (delta) so that object extraction and segmentation may be done by locating the corresponding components. Our approach provides a possible method of transition from low level computer vision to a higher level vision. Since we do not make any assumptions about the formation model of the image data, our proposed method could be applied to many types of images.

Paper Details

Date Published: 14 November 1996
PDF: 12 pages
Proc. SPIE 2847, Applications of Digital Image Processing XIX, (14 November 1996); doi: 10.1117/12.258216
Show Author Affiliations
Yang Wang, Univ. of Nebraska/Lincoln (United States)
Prabir Bhattacharya, Univ. of Nebraska/Lincoln (United States)

Published in SPIE Proceedings Vol. 2847:
Applications of Digital Image Processing XIX
Andrew G. Tescher, Editor(s)

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