ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Teager Energy Based Blood Cell Segmentation

Kumar, Ravi B and Joseph, Danny K and Sreenivas, TV (2002) Teager Energy Based Blood Cell Segmentation. In: 2002 14th International Conference on Digital Signal Processing. DSP 2002, 1-3 July, Santorini,Greece, Vol.2, 619 -622.

[img]
Preview
PDF
teager.pdf

Download (754kB)

Abstract

A new method for fast and simple segmentation of peripheral blood smears using the Teager energy operator (TEO) is presented. The two-part algorithm efficiently segments leucocytes present in the smear into nucleus and cytoplasm. The local mean weighted high pass filtering property of the Teager energy operator is used to identify and distinguish the nucleus of white blood cells. Cytoplasm present in the white blood cells is segmented using selective mathematical morphology. Experimental results are shown for a blood smear containing multiple nuclei. It was observed that modified histogram developed using the TEO can efficiently segment even multiple nuclei. Experiments have been conducted to verify the accuracy of the proposed segmentation scheme for all the major types of leucocytes. Simulation results have shown that our algorithm segments nuclei effectively even at low percentage of impulse noise.

Item Type: Conference Paper
Publisher: IEEE
Additional Information: Copyright 1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 31 Jan 2006
Last Modified: 19 Sep 2010 04:23
URI: http://eprints.iisc.ac.in/id/eprint/5254

Actions (login required)

View Item View Item