| Towards Intelligent Trainable Tools for the Automated Analysis, Cataloging, and Searching of Digital Image Libraries: A Machine Learning Approach (2007) | |||||||||||||||||
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| 1. Introduction In areas as diverse as earth remote sensing, astronomy, and medical imaging, image acquisition technology has undergone tremendous improvements in recent years. The vast amounts of scientific data, stored in the form of digital image libraries, are potential treasure-troves for scientific investigation and analysis. Unfortunately, advances in our ability to deal with this volume of data in an effective manner have not paralleled the hardware gains in storage technology and data gathering instruments. While special-purpose tools for particular applications exist, there is a dearth of useful general-purpose software tools and algorithms which can assist a scientist in exploring large scientific image databases. This paper presents our recent progress in developing interactive semi-automated image library exploration tools based on pattern recognition and machine learning techniques. Two successful applications at JPL will be used to ground the discussion and point out th... | |||||||||||||||||
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