Abstract
Image is one of the most widely used media in the world. Many real-life applications have been designed to process and analyze large number of images. For example, in the terrain matching applications, we have thousands of images that are returned by the satellite which need to be processed and mapped; in the archaeology domain, all ancient artifacts are photographed and stored for subsequent efficient retrieval; in the medical domain, images such as mammograms, ultrasound images, X-ray images, MRI-images are already a standard part of health care industry. Finding meaningful patterns from large sets of images is necessary for automatic indexing, categorizing, retrieving, and analyzing these images.
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Hsu, W., Lee, M.L., Dai, J. (2005). Finding Patterns in Image Databases. In: Leondes, C.T. (eds) Intelligent Knowledge-Based Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4020-7829-3_30
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DOI: https://doi.org/10.1007/978-1-4020-7829-3_30
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