Robust color image recognition with principal component analysis and neural networks

Authors

  • Luisa Garcia ⋅ PH National Institute of Physics, University of the Philippines Diliman
  • Maricor Soriano ⋅ PH National Institute of Physics, University of the Philippines Diliman
  • Caesar Saloma ⋅ PH 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.

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Issue

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.