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Home > SCI Research: Image and Signal Processing
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Image and Signal Processing
Image processing and analysis play an important role in many applications of scientific computing and imaging. Image data come from a wide variety of sources including medical scanners, scientific instruments, and digital cameras. Usually, it is necessary to process these images before they can provide useful information. Processing can consist of filtering i.e., producing a better, clearer image from one that is noisy, faded, or distorted. To construct geometric models from image data, it is sometimes necessary to combine and align image data from different sources, or to extract the boundaries between different regions within the images.
Researchers in the SCI Institute study techniques for image processing that fall within a conceptual framework that relies on the geometric structure of images. This conceptual framework also allows us to construct processing algorithms that are the solutions of certain kinds of partial differential equations. Treating images as functions leads to a family of techniques for preprocessing and filtering, feature extraction, segmentation, and surface modeling.
As part of this effort the SCI Institute participates in the Insight project, a consortium of researchers from 10 different industrial and academic institutions. This consortium is supported by the National Library of Medicine to build an advanced, object-oriented image-processing toolkit that will be used to analyze the data associated with the Visible Human Project.
