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Linda Shapiro

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Robert M. Haralick, Linda G. Shapiro. "Image segmentation techniques." Computer Vision, Graphics, and Image Processing, Volume 29, Issue 1, 1985, Pages 100–132, ISSN 0734-189X, https://doi.org/10.1016/S0734-189X(85)90153-7.
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from 1979 to 1984. She then spent two years as director of intelligent systems at Machine Vision International in Ann Arbor, Michigan. She has been an
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Shapiro graduated with a B.S. with highest distinction in mathematics and computer science from the
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University of Washington Paul G. Allen School of Computer Science & Engineering faculty
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L. G. Shapiro and R. M. Haralick, "Structural Descriptions and Inexact Matching," in
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University of Washington, Department of Computer Science and Engineering,
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University of Washington, Department of Computer Science and Engineering,
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Haralock, Robert M. and L. Shapiro. “Computer and Robot Vision.” (1991).
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Haralock, Robert M.; Shapiro, L. (1991). "Computer and Robot Vision".
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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Vision Interface: Real World Applications of Computer Vision
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in 1974. She was a faculty member in computer science at
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in 1970. She completed her M.S. in computer science from
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This article about an American electrical engineer is a
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Haralick, Robert M.; Shapiro, Linda G. (1985-01-01).
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Virginia Polytechnic Institute and State University
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Index


professor
Computer Science
electrical engineering
adjunct professor
Biomedical Informatics
Medical Education
University of Washington
University of Illinois
University of Iowa
University of Iowa
Kansas State University
Virginia Polytechnic Institute and State University
IEEE Fellow
IAPR
editor-in-chief
computer vision
medical image analysis
artificial intelligence
biomedical informatics
pattern recognition
content-based image retrieval
Convolutional Neural Networks
Deep Neural Nets
Digital Pathology
doi
10.1109/TPAMI.1981.4767144
Linda Shapiro
"Linda Shapiro | UW Department of Electrical & Computer Engineering"
Vision Interface: Real World Applications of Computer Vision

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