Refereed full papers (journals, book chapters, international conferences)

1998

@inproceedings{CMF1998,
	vgclass =	{refpap},
	vgproject =	{cbir},
	author =	{Dorin Comaniciu and Peter Meer and David Foran and Attila Medl},
	title =	{Bimodal System for Interactive Indexing and Retrieval of Pathology Images},
	booktitle =	{Proceedings of the Fourth IEEE Workshop on Applications of Computer Vision (WACV'98)},
	address =	{Princeton, NJ, USA},
	pages =	{76--81},
	month =	{October},
	year =	{1998},
	url =	{http://www.caip.rutgers.edu/\~{}comanici/pubs.html},
	abstract =	{The prototype of a system to assist the physicians in
	differential diagnosis of lymphoproliferative disorders of blood cells
	from digitized specimens is presented. The user selects the region of
	interest (ROI) in the image which is then analyzed with a fast, robust
	color segmenter. Queries in a database of validated cases can be
	formulated in terms of shape (similarity invariant Fourier
	descriptors), texture (multiresolution simultaneous autoregressive
	model), color ($L^*u^*v^*$ space), and area, derived from the
	delineated ROI. The uncertainty of the segmentation process (obtained
	through a numerical method) determines the accuracy of shape
	description (number of Fourier harmonics). Ten-fold cross-validated
	classification over a database of 261 color $640 \times 480$ images was
	implemented to assess the system performance. The ground truth was
	obtained through immunophenotyping by flow cytometry. To provide a
	natural man-machine interface, most input commands are bimodal: either
	using the mouse or by voice. A speech synthesizer provides feedback to
	the user. All the employed computational modules are context
	independent and thus the same system can be used in a large variety of
	application domains.},
}