Automated detection of Karnal bunt teliospores

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Description

Karnal bunt is a fungal disease which infects wheat and, when present in wheat crops, yields it unsatisfactory for human consumption. Due to the fact that Karnal bunt (KB) is difficult to detect in the field, samples are taken to laboratories where technicians use microscopes and methodically search for KB teliospores. AlliedSignal Federal Manufacturing and Technologies (FM and T), working with the Kansas Department of Agriculture, created a system which utilizes pattern recognition, feature extraction, and neural networks to prototype an automated detection system for identifying KB teliospores. System hardware consists of a biological compound microscope, motorized stage, CCD camera, ... continued below

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11 p.

Creation Information

Linder, K. D.; Baumgart, C.; Creager, J.; Heinen, B.; Troupe, T.; Meyer, D. et al. February 1, 1998.

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  • Allied-Signal Aerospace Company
    Publisher Info: Allied-Signal Aerospace Co., Kansas City, MO (United States). Kansas City Div.
    Place of Publication: Kansas City, Missouri

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Description

Karnal bunt is a fungal disease which infects wheat and, when present in wheat crops, yields it unsatisfactory for human consumption. Due to the fact that Karnal bunt (KB) is difficult to detect in the field, samples are taken to laboratories where technicians use microscopes and methodically search for KB teliospores. AlliedSignal Federal Manufacturing and Technologies (FM and T), working with the Kansas Department of Agriculture, created a system which utilizes pattern recognition, feature extraction, and neural networks to prototype an automated detection system for identifying KB teliospores. System hardware consists of a biological compound microscope, motorized stage, CCD camera, frame grabber, and a PC. Integration of the system hardware with custom software comprises the machine vision system. Fundamental processing steps involve capturing an image from the slide, while concurrently processing the previous image. Features extracted from the acquired imagery are then processed by a neural network classifier which has been trained to recognize spore-like objects. Images with spore-like objects are reviewed by trained technicians. Benefits of this system include: (1) reduction of the overall cycle-time; (2) utilization of technicians for intelligent decision making (vs. manual searching); (3) a regulatory standard which is quantifiable and repeatable; (4) guaranteed 100% coverage of the cover slip; and (5) significantly enhanced detection accuracy.

Physical Description

11 p.

Notes

OSTI as DE98051893

Source

  • BIOS `98: an international symposium on biomedical optics, San Jose, CA (United States), 24-30 Jan 1998

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  • Other: DE98051893
  • Report No.: KCP--613-6034
  • Report No.: CONF-980117--
  • Grant Number: AC04-76DP00613
  • Office of Scientific & Technical Information Report Number: 584919
  • Archival Resource Key: ark:/67531/metadc698599

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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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Creation Date

  • February 1, 1998

Added to The UNT Digital Library

  • Aug. 14, 2015, 8:43 a.m.

Description Last Updated

  • Feb. 20, 2017, 3:04 p.m.

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Citations, Rights, Re-Use

Linder, K. D.; Baumgart, C.; Creager, J.; Heinen, B.; Troupe, T.; Meyer, D. et al. Automated detection of Karnal bunt teliospores, article, February 1, 1998; Kansas City, Missouri. (digital.library.unt.edu/ark:/67531/metadc698599/: accessed December 14, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.