P
Peter Bajcsy
Researcher at National Institute of Standards and Technology
Publications - 167
Citations - 2066
Peter Bajcsy is an academic researcher from National Institute of Standards and Technology. The author has contributed to research in topics: Image segmentation & Segmentation. The author has an hindex of 22, co-authored 159 publications receiving 1812 citations. Previous affiliations of Peter Bajcsy include University of Illinois at Urbana–Champaign & American Dental Association.
Papers
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Journal ArticleDOI
Intensity correction of fluorescent confocal laser scanning microscope images by mean-weight filtering.
Sang-Chul Lee,Peter Bajcsy +1 more
TL;DR: An intensity heterogeneity correction technique is developed that adjusts the intensity heterogeneity of 2D images, preserves fine structural details and enhances image contrast, by performing spatially adaptive mean‐weight filtering.
Journal ArticleDOI
Segmenting time-lapse phase contrast images of adjacent NIH 3T3 cells.
Joe Chalfoun,Marcin Kociolek,Alden A. Dima,Michael Halter,Antonio Cardone,Adele P. Peskin,Peter Bajcsy,Mary Brady +7 more
TL;DR: The segmentation method presented in this paper consists of background reconstruction to obtain noise‐free foreground pixels and incorporation of biological insight about dividing and nondividing cells into the segmentation process to achieve reliable separation of foreground pixels defined as pixels associated with individual cells.
Proceedings ArticleDOI
Terabyte-sized image computations on Hadoop cluster platforms
TL;DR: By applying the modified Amdahl's law methodology to assessing efficiencies of computations on computer cluster configurations, this work could rank computation configurations and aid scientists in measuring the benefits of running image processing on a Hadoop cluster.
Automated Placement of Multiple Stereo Cameras
Rahul Malik,Peter Bajcsy +1 more
TL;DR: The results not only show promising features of the optimization approach but also eliminate ad-hoc experimentation of camera placement for each end application where multiple stereo camera systems can be deployed.
Journal ArticleDOI
Quantifying CD4 receptor protein in two human CD4+ lymphocyte preparations for quantitative flow cytometry
Meiyao Wang,Meiyao Wang,Martin Misakian,Hua-Jun He,Peter Bajcsy,Fatima Abbasi,Jeffrey M. Davis,Kenneth D. Cole,Illarion V. Turko,Illarion V. Turko,Lili Wang +10 more
TL;DR: Steric hindrance of antibody binding and the association of CD4 receptors with other biomolecules likely contribute significantly to the nearly 50% lower CD4 receptor density value for cryopreserved PBMC determined from flow cytometry compared to the value obtained from MRM MS.