Content-Based Image Database
Funded by National Science Foundation: IRI-9529045
Methods are being developed to extract both low-level and high-level image features for use in indexing and retieval of images and videos. Images from two specific application areas are being considered: color photographs and skin cancer images. First the geometry and color of images are corrected, then they are segmented to regions, each corresponding to an object or a part of it. Finally, the properties of the image regions are quantified to derive the image features.
PI: Ardy Goshtasby,
Collaborators: Clement Yu, UIC; Steve Bines, M.D. and David Roseman, M.D., Rush Med. Ctr., Chicago, IL.
An Example Using an Image of a Skin Lesion:
Original Image and Color Corrected Image
Image is segmented to extract the lesion boundary.
A Lesion bounday is characterized by contour segments forming it.
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For more information contact: A. Goshtasby (firstname.lastname@example.org).
Last modified: 8/27/98.