Robust color image recognition with principal component analysis and neural networks

Authors

Luisa Garcia National Institute of Physics, University of the Philippines Diliman
Maricor Soriano National Institute of Physics, University of the Philippines Diliman
Caesar Saloma National Institute of Physics, University of the Philippines Diliman

Abstract

We propose a technique to classify colored images using principal components and neural network which is robust to scaling, rotation and shifts in the image. Colors are basic information carriers of any natural scene and as such objects can be recognized based on their color alone.

Downloads

Issue

1997: Proceedings of the 15th National Physics Congress of the Samahang Pisika ng Pilipinas

Article ID

SPP-1997-IC-08

Section

Instrumentation and Computational Physics

Published

1997-10-27

How to Cite

[1]

L Garcia, M Soriano, and C Saloma, Robust color image recognition with principal component analysis and neural networks, Proceedings of the Samahang Pisika ng Pilipinas 15, SPP-1997-IC-08 (1997). URL: https://proceedings.spp-online.org/article/view/SPP-1997-IC-08.