Stereoscopic length measurements on coral using neural networks

Authors

Carlo M. Orofeo Department of Physics, University of San Carlos
Jerome Impas Department of Physics, University of San Carlos
Renante Violanda Department of Physics, University of San Carlos
Kees Karremans Vrije Universiteit Amsterdam, The Netherlands and University of San Carlos, Philippines

Abstract

In this paper, we present an alternative, nondestructive method to measure coral growth. Information from two cameras is transformed to Cartesian coordinates using an artificial neural network. Measurements on branches of coral show that the accuracy of our method (1 mm) is comparable to the traditional technique.

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Issue

2001: Proceedings of the 19th Samahang Pisika ng Pilipinas Philippine Physics Congress

Article ID

SPP-2001-F1B-1

Section

Image and Signal Processing

Published

2001-10-24

How to Cite

[1]

CM Orofeo, J Impas, R Violanda, and K Karremans, Stereoscopic length measurements on coral using neural networks, Proceedings of the Samahang Pisika ng Pilipinas 19, SPP-2001-F1B-1 (2001). URL: https://proceedings.spp-online.org/article/view/SPP-2001-F1B-1.