A computer science researcher publishes research improving the analysis of the main component using a flux filter
Prof. Yousrya Hussein Ali published in the Department of Computer Science in collaboration with researcher Reem Aqil Medhat
(Improved key component analysis using Gaussian Blur Filter)
In the Iraqi Journal of Science issued by the College of Science / University of Baghdad.
The idea of research is that extracting the characteristics is the most important step in dealing with image discrimination, which makes the contents of the image as perfect as possible.
It uses a camouflage blur filter to remove noise and add purity to images. The main component analysis algorithm is an easy and efficient way to derive vector properties, reduce data set dimensions, remove noise from images, and improve component analysis to extract properties more effectively in recall and accuracy.