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Proceedings Paper

Versatile architecture for image recognition applications
Author(s): Anthony Sacramone; Joseph Scola; Dov J. Shazeer
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Paper Abstract

Architectures for the development of image recognition algorithms must support the implementation of systematic procedures for solving image recognition problems. All too often, designers develop image recognition architectures in an ad hoc fashion which lacks the structure to meet long term needs. Vendors typically supply customers with standard image processing libraries and display tools. Combining these tools and formulating development strategies have remained stumbling blocks in the design of complete image recognition algorithm development environments. In this paper, an architecture is presented which provides a well defined framework, and at the same time is sufficiently flexible to accommodate images of multiple sensor and data types. The primary components of the architecture are: ground-truthing, preprocessing (which includes image processing and segmentation), feature extraction, classification, and performance analysis. Powerful and well defined data structures are exploited for each of the primary components. Groups of programs called tasks manipulate one or more of these data structures, each task belonging to one of the primary components. Multiple tasks can be executed in an unsupervised mode over an entire database of images. Results are then subjected to performance analysis and feedback. A description of the primary components and how they are integrated to facilitate the rapid prototyping and development of image recognition algorithms is presented.

Paper Details

Date Published: 1 March 1992
PDF: 9 pages
Proc. SPIE 1615, Machine Vision Architectures, Integration, and Applications, (1 March 1992); doi: 10.1117/12.58801
Show Author Affiliations
Anthony Sacramone, Charles Stark Draper Lab., Inc. (United States)
Joseph Scola, Charles Stark Draper Lab., Inc. (United States)
Dov J. Shazeer, Charles Stark Draper Lab., Inc. (United States)

Published in SPIE Proceedings Vol. 1615:
Machine Vision Architectures, Integration, and Applications
Bruce G. Batchelor; Michael J. W. Chen; Frederick M. Waltz, Editor(s)

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