Using some of multivariate analysis methods for reduction the dimentionality of imaging in biology science applications

Abstract

This research using the Karhunen loeve (KL) Algorithm and correspondence analysis algorithm for extraction the feature and find the region of interest in the sequences multivariate images by dimensinality reduction and then comparison by them to show whose method that give the best results. The potentials for use this method is illustrated through actual examples dealing with the study of chloride secrtion by airaway epithial cells for 21 bands.We can see that the multivariate analysis allow to distinguish dataset of multivariate dimensinallity at once,and discrbtit them for the relation by different information in the data.We show that the multivariate imaging can be register multivariate datasets for the high information that may be not appear and we must extraction.