讲座名称：Digital Image Processing Research & Commercialization
讲座人：Prof. Rafael C. Gonzalez
Dr. Gonzalez is currently a Professor Emeritus of Electrical Engineering and Computer Science at UTK and a fellow of the IEEE. He is the founder of the Image & Pattern Analysis Laboratory and the Robotics & Computer Vision Laboratory at UTK(The University of Tennessee, Knoxville). he also founded Perceptics Corporation. Under his direction, Perceptics became a leader in image processing, computer vision, and laser disk storage technology. Gonzalez is author or co-author of over 100 technical articles, two edited books, and four textbooks in the fields of pattern recognition, image processing, and robotics. His books are used in more than 1000 universities and research institutions throughout the world.His academical honors include the 1977 UTK College of Engineering Faculty Achievement Award, the the 1980 M.E. Brooks Distinguished Professor Award and so on. He is listed in the prestigious Marquis Who's Who in America, Marquis Who's Who in Engineering, Marquis Who's Who in the World, and in 10 other national and international biographical citations. He is the co-holder of two U.S. Patents, and has been an associate editor of the IEEE Transactions on Systems, Man and Cybernetics, and the International Journal of Computer and Information Sciences.
Digital Image Processing is a mainstream field of research and application in areas ranging from medicine, biotechnolgy, and environmental monitoring, to industrial inspection, biometrics, robotics, and visual aspects of machine learning and artificial intelligence. This talk is an overview of the field, its history, and major current applications. Principles of how image processing technology is commercialized will also be discussed and illustrated with products that have resulted from academic research, and which have been commercially successful. Because of the recent focus of the Chinese government on innovation and its strategic importance in building a modernized economy, this talk should also be of interest to individuals working in research areas that have the potential for becoming innovative technologies with commercial applications.