Empirical analysis of blood plasma LIBS images using different nonlinear diffusion techniques

Authors:
Robert Vincelette;Claude Tameze;Noureddine Melikechi;Vesna Zeljkovic
Affiliations:
Delaware State University, Dover Delaware;Delaware State University, Dover Delaware;Delaware State University, Dover Delaware;Delaware State University, Dover Delaware
Venue:
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Year:
2007

Citing 6
Cited 0

Scaling Theorems for Zero Crossings

IEEE Transactions on Pattern Analysis and Machine Intelligence
Uniqueness of the Gaussian Kernel for Scale-Space Filtering

IEEE Transactions on Pattern Analysis and Machine Intelligence
The scale-space formulation of pyramid data structures

Parallel computer vision
Scale-Space and Edge Detection Using Anisotropic Diffusion

IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge and Curve Detection for Visual Scene Analysis

IEEE Transactions on Computers
Scale-space filtering

IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2

Quantified Score

Hi-index	0.00

Visualization

Abstract

We are investigating the use of the Laser induced breakdown spectroscopy, (LIBS), on blood samples of mice to detect the earliest stages of epithelial ovarian cancer (EOC). A laser changes a blood samples to plasma state and the images produced thereby are analyzed. By comparing LIBS images of blood from EOC positive mice to those of cancer free mice, our goal is to identify differences by which we can detect those in early EOC stages. We apply improved nonlinear diffusion filters to enhance relevant image edges and to remove noise and irrelevant texture.