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Search Publications by: Peter Bajcsy (Fed)

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Displaying 51 - 59 of 59

Segmenting Time-lapse Phase Contrast Images of Adjacent NIH 3T3 Cells

January 15, 2013
Author(s)
Joe Chalfoun, Alden A. Dima, Marcin Kociolek, Michael W. Halter, Antonio Cardone, Adele P. Peskin, Peter Bajcsy, Mary C. Brady
We present a new method for segmenting phase contrast images of NIH 3T3 fibroblast cells that is accurate even when cells are in contact. The problem of segmentation, when cells are in contact, poses a challenge to the accurate automation of cell counting

How to Select Microscopy Image Similarity Metrics?

October 10, 2012
Author(s)
Peter Bajcsy, Joe Chalfoun, Mary C. Brady
Comparisons of two microscopy images can be accomplished in many different ways. This paper presents a system that recommends appropriate similarity metrics for microscopy image comparisons based on biological application requirements. The motivation stems

Versus: A Framework for General Content-Based Comparisons

October 8, 2012
Author(s)
Peter Bajcsy, Antoine Vandecreme, Benjamin J. Long, Paul Khouri Saba, Joe Chalfoun, Luigi Marini, Rob Kooper, Michal Ondrejcek, Kenton McHenry, Smruti Padhy
Versus is a framework for the execution and dissemination of customizable content-based file comparison methods. Given digital objects such as files, database entries, or in-memory data structures, we are interested in establishing their proximity (i.e

Toward a Recommendation System for Image Similarity Metrics

October 7, 2012
Author(s)
Peter Bajcsy, Joe Chalfoun, Mary C. Brady
This paper addresses the problem of mapping application specific requirements on image similarity metrics to the plethora of existing image similarity computations. The work is motivated by the fact that there is no recommendation method for choosing a

Data Quality for High Content Screening

September 3, 2012
Author(s)
YaShian Li-Baboud, Oleg Aulov, Peter Bajcsy
TO HAVE CONFIDENCE IN THE KNOWLEDGE GLEANED FROM DATA, IT IS ESSENTIAL TO VERIFY THE QUALITY OF THE DATA SOURCES AND TO HAVE A MEANS OF QUANTIFYING THE POTENTIAL UNCERTAINTIES DUE TO THE QUALITY OF DATA FOR MAKING CRITICAL, INTELLIGENT DECISIONS. HIGH

Conformance of Image Features to Classifier Assumptions

July 27, 2012
Author(s)
Julien M. Amelot, Peter Bajcsy, Mary C. Brady
Cell measurements are derived frequently from the results of pixel classification and contiguous region segmentation of microscopy images. Image segmentation is accomplished by classifying image pixels based on high dimensional image features computed from

Grand Challenges of Measurement Science with Big Data

June 14, 2012
Author(s)
Peter Bajcsy
This presentation discusses Grand Challenges of Measurement Science with Big Data. It illustrates the difference between Measurement Science with Little Data and Big Data in the domain of cell biology and microscopy image observations.

Versus: A Framework for General Content-Based Comparisons

December 5, 2011
Author(s)
Peter Bajcsy, Antoine Vandecreme, Benjamin J. Long, Paul Khouri Saba, Joe Chalfoun, Luigi Marini, Devin Bonnie, Rob Kooper, Michal Ondrejcek, Kenton McHenry
Abstract—We present a framework for the execution and dissemination of customizable content-based file comparison methods. Given digital objects such as files, database entries, or in-memory data structures, we are interested in establishing their