Image Retrieval in the Industrial Environment

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Description

The ability to manage large image databases has been a topic of growing research over the past several years. Imagery is being generated and maintained for a large variety of applications including remote sensing, art galleries, architectural and engineering design, geographic information systems, weather forecasting, medical diagnostics, and law enforcement. Content-based image retrieval (CBIR) represents a promising and cutting-edge technology that is being developed to address these needs. To date, little work has been accomplished to apply these technologies to the manufacturing environment. Imagery collected from manufacturing processes have unique characteristics that can be used in developing a manufacturing-specific CBIR ... continued below

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9 p.

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Ferrell, R.; Karnowski, T.P. & Tobin, K.W. January 24, 1999.

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Description

The ability to manage large image databases has been a topic of growing research over the past several years. Imagery is being generated and maintained for a large variety of applications including remote sensing, art galleries, architectural and engineering design, geographic information systems, weather forecasting, medical diagnostics, and law enforcement. Content-based image retrieval (CBIR) represents a promising and cutting-edge technology that is being developed to address these needs. To date, little work has been accomplished to apply these technologies to the manufacturing environment. Imagery collected from manufacturing processes have unique characteristics that can be used in developing a manufacturing-specific CBIR approach. For example, a product image typically has an expected structure that can be characterized in terms of its redundancy, texture, geometry, or a mixture of these. Defect objects in product imagery share a number of common traits across product types and imaging modalities as well. For example, defects tend to be contiguous, randomly textured, irregularly shaped, and they disrupt the background and the expected pattern. We will present the initial results of the development of a new capability for manufacturing-specific CBIR that addresses defect analysis, product quality control, and process understanding in the manufacturing environment. Image data from the semiconductor-manufacturing environment will be presented.

Physical Description

9 p.

Notes

OSTI as DE00003728

Medium: P; Size: 9 pages

Source

  • Electronic Imaging '99, San Jose, CA (US), 01/24/1999--01/29/1999

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  • Report No.: ORNL/CP-101273
  • Grant Number: AC05-96OR22464
  • Office of Scientific & Technical Information Report Number: 3728
  • Archival Resource Key: ark:/67531/metadc681798

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • January 24, 1999

Added to The UNT Digital Library

  • July 25, 2015, 2:20 a.m.

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  • April 11, 2017, 8:17 p.m.

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Ferrell, R.; Karnowski, T.P. & Tobin, K.W. Image Retrieval in the Industrial Environment, article, January 24, 1999; Tennessee. (digital.library.unt.edu/ark:/67531/metadc681798/: accessed November 19, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.