Agenda

Abstract

Digital Image Analysis and Image Database Applications
Jeffrey J. Rodriguez, Ph.D.

Automated analysis of digital images has many applications, especially including biomedicine (e.g., segmentation of cellular structures, tissue classification) and homeland security (e.g., face recognition, object tracking). At the Signal and Image Analysis Laboratory (SaIL) in the Dept. of Electrical and Computer Engineering, researchers develop application-specific image analysis techniques to solve a variety of challenging real-world problems.  Typical steps include image preprocessing, feature extraction, feature selection, region segmentation, and image classification. Many of the tools used for the general image analysis problem have also been found useful for performing content-based searches in image databases. The explosive growth of image databases has led to the need for content-based image retrieval algorithms. Because of the enormous volume of image data in some applications, it makes sense to consider data storage issues in conjunction with the data processing.

 
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