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Proceedings Paper

Geometrical and morphological image processing algorithm
Author(s): Kamran Reihani; Wiley E. Thompson
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Paper Abstract

Early vision processing involves segmenting and eliminating/minimizing extrinsic variations in an image. Tradition segmentation algorithms use a single threshold to reduce image data to the regions important to the vision system. A single threshold rarely gives good segmentation results over an entire image because it may reject too many of the objects as belonging to the background or may accept too much of the background as belonging to the objects. This paper presents a segmentation method that uses multiple thresholds for partitioning an image into objects and background. The segmentation process is a gradient approach whereby the multiple (or adaptable) thresholds are calculated from discriminant structural feature values.

Paper Details

Date Published: 1 June 1991
PDF: 11 pages
Proc. SPIE 1452, Image Processing Algorithms and Techniques II, (1 June 1991); doi: 10.1117/12.45392
Show Author Affiliations
Kamran Reihani, New Mexico State Univ. (United States)
Wiley E. Thompson, New Mexico State Univ. (United States)


Published in SPIE Proceedings Vol. 1452:
Image Processing Algorithms and Techniques II
Mehmet Reha Civanlar; Sanjit K. Mitra; Robert J. Moorhead, Editor(s)

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