Automated Disease Identification using computational 3D Optical Sensing and Imaging Systems Conference Paper uri icon

abstract

  • 1 Applied Physics Department, Faculty of Technology & Engineering, The MS University of Baroda, Vadodara, India 2School of Computer Engineering, Chosun University, 375 Seosuk-dong, Dong-gu, Gwangju, 501-759 S. Korea 3Center for Frontier Science and Engineering, The University of Electro-Communications, Tokyo, Japan 4Department of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel 5Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269-4157 USA e-mail address: Bahram.Javidi@UConn.edu … Abstract: In this invited paper, we present an overview of our reported work on 3D sensing and imaging applied to automated cell identification. The sensing and imaging methods include digital holographic imaging, interferometric systems, and integral imaging. We show that 3D sensing and imaging approaches …

publication date

  • January 1, 2016