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Proceedings Paper

Object-oriented language for image and vision execution
Author(s): Myron D. Flickner; Mark A. Lavin; Sujata Das
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Paper Abstract

Hardware technology advances have dramatically reduced the cost of image computation for machine vision; unfortunately, machine vision software technology has not kept pace. This paper presents OLIVE, an object-oriented language for machine vision and image processing, intended to make it easier to develop efficient, portable applications. First, OLIVE's principal object types are defined -- IMAGEs and LOCUSes (abstractions of point sets and geometric entities) -- and their corresponding operations, including the use of LOCUSes as generalized indexes for IMAGEs. Next, a hardware architecture that simplifies the implementation while enhancing performance is discussed. Finally, the authors compare the IMAGE/LOCUS objects to the IMAGE/TEMPLATE objects of the image algebra proposed by Ritter,Wilson and Davidson.

Paper Details

Date Published: 1 July 1991
PDF: 12 pages
Proc. SPIE 1568, Image Algebra and Morphological Image Processing II, (1 July 1991); doi: 10.1117/12.49888
Show Author Affiliations
Myron D. Flickner, IBM/Almaden Research Ctr. (United States)
Mark A. Lavin, IBM/Thomas J. Watson Research Ctr. (United States)
Sujata Das, IBM/Almaden Research Ctr. (United States)


Published in SPIE Proceedings Vol. 1568:
Image Algebra and Morphological Image Processing II
Paul D. Gader; Edward R. Dougherty, Editor(s)

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