Department of Electrical & Computer Engineering Signal and Image Laboratory (SaIL) The University of Arizona®

The Signal and Image Laboratory (SaIL) directed by Professor Jeffrey J. Rodríguez is a research facility in the Dept. of Electrical and Computer Engineering at The University of Arizona. Research at SaIL involves signal/image/video processing and analysis, combined with pattern recognition techniques, to develop novel solutions to interdisciplinary problems in biology, medicine, homeland security, and consumer electronics.

Much of our biomedical research has been in collaboration with other units on campus, such as the Arizona Cancer Center, the College of Medicine, and the Dept. of Molecular and Cellular Biology. For example, we are developing automated image analysis techniques for non-rigid registration and tracking of the right ventricle of the heart in cardiac magnetic resonance images, for use in assessment of cardiac function in patients with heart disorders. In addition, we have developed techniques for segmentation of sub-cellular structures in three-dimensional confocal microscopic images, for analyzing cytogenetic abnormalities.

Past research projects include segmentation of cancerous lesions in magnetic resonance images, cross-modality registration of medical images, segmentation of internal hemoglobin in electron microscope images, content-adaptive improved error concealment methods for video communication, texture analysis for automated tissue classification in confocal microendoscopic images, texture analysis of aeromagnetic anomaly images for geological classification, digital image watermarking, vocal-tract modeling using fractional-delay filters, wavelet-based color image denoising, and color histogram modification for image enhancement.

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