Cellular Tracking by Non Linear Filtering and Optical Correlation

This book proposes the implementation of a novel hybrid method for cell detection and cell tracking of biological cells of in vitro samples. The proposed detection for this method is done by the evaluation of a computational method based on image processing methods; Several tecniques and methods had been developed and the better combination of them for our porpuse were normalization, equalization, binarization, morphological operators, normalized cross correlation and a settle algorithm. Background elimination is a priori task for this work. Fourier analysis plays an important role in this work, by frequency analysis the elimination of the background is easier and faster.

Autorentext

Eduardo Perez-Careta currently is studying the PhD program in the University of Guanajuato, Graduated from the Faculty of Mechanical and Electrical Engineering in Salamanca, Guanajuato. Also Instrumentation Engineer in the Refinery of Salamanca.