For upper level courses in Computer Vision and Image Analysis.
Provides necessary theory and examples for students and practitioners who will work in fields where significant information must be extracted automatically from images. Appropriate for those interested in multimedia, art and design, geographic information systems, and image databases, in addition to the traditional areas of automation, image science, medical imaging, remote sensing and computer cartography. The text provides a basic set of fundamental concepts and algorithms for analyzing images, and discusses some of the exciting evolving application areas of computer vision.
LINDA G. SHAPIRO is Professor of Computer Science and Engineering and Professor of Electrical Engineering at the University of Washington. She earned a bachelor's degree in mathematics from the University of Illinois in 1970 and master's and Ph.D. degrees in computer science from the University of Iowa in 1972 and 1974, respectively. She taught at Kansas State University and at Virginia Polytechnic Institute and State University and served as Director of Intelligent Systems at Machine Vision International before joining the University of Washington in 1986. Professor Shapiro is past editor-in-chief of the journal Image Understanding and is a member of the editorial boards of Computer Vision and Image Understanding and of Pattern Recognition. She has served on the program committees of many computer vision workshops and conference and is co-author of the text, Computer and Robot Vision with Robert M. Haralick. She was elected a Fellow of the IEEE in 1995, and a Fellow of the International Association for Pattern Recognition in 2000.
GEORGE C. STOCKMAN received the B.S. degree in Mathematics-Education from East Stroudsburg State University in 1966, the MAT degree from Harvard in 1967, the M.S. degree in computer science from Penn State in 1971, and the Ph.D. degree in computer science from The University of Maryland in 1977. Currently he is a Professor of Computer Science and Engineering at Michigan State University, where he joined the faculty in 1982. From 1974 to 1982, he worked as a Research Scientist for LNK Corporation on problems in image analysis and computer cartography. At MSU he teaches programming and data structures as well as computer vision and computer graphics. Professor Stockman has been active in many activities of the IEEE, including workshops on the teaching of computing with images.