Classification of Coral Reef Components Using Color and Texture Features

Authors

  • Ezmahamrul Afreen Awalludin School of Fisheries and Aquaculture Sciences, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia.
  • Muhammad Suzuri Hitam School of Informatics and Applied Mathematics, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia.
  • Wan Nural Jawahir Hj Wan Yussof School of Informatics and Applied Mathematics, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia.
  • Zainudin Bachok Institute of Oceanography and Environmental, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia.

Keywords:

Coral Reef Classification, Hue Saturation Value Color, Local Binary Pattern, Multi-layer Perceptron Neural Network,

Abstract

This paper presents classification of coral reef benthic components that composed of live corals, dead corals, rubbles and sands. Since coral reef exist with different of shapes, colours and textures, the use of image processing technique provides advantages to estimate percentage cover of coral reef benthic components. Color and texture are used to extract features of coral reef benthic components. Hue Saturation Value (HSV) color model is utilized by calculating its color histogram to obtain color features. Meanwhile, the Local Binary Pattern (LBP) descriptor is used to extract texture features. The color and texture features are combined as the input into the Multilayer Perceptron Neural Network (MLPNN) classifier. The performances of the coral reef classification are evaluated based on color feature, texture feature or combination of both color and texture features. It is found out that the joining feature set of color and texture features provide the highest classification accuracy, i.e. 92.60% accuracy rate as compared to the use of individual feature such as color and texture features alone that achieved only 81.30% and 88.10% accuracy classification rate, respectively.

References

A. L. Abdullah, J. Mohamed, and Z. Yasin. “Incorporating Hydroacoustic signal classification technique for effective application to limits of acceptable change framework for natural heritage conservation at Pulau Payar marine park,” Malaysian Journal of Environment Management, vol. 12, no. 1, pp. 23-37, 2011.

D. K.. Bass. and I. R. Miller, “Crown-of-thorns starfish and coral surveys using the manta tow and scuba search techniques, long term monitoring of the great barrier reef,” Standard Operational Procedure Number 1. Australian Institute of Marine Science, Townsville, Australia, 1996.

H. Holden, E. L. Drew, C. Derksen. and M. A Wulder, “Coral reef ecosystem change detection based on spatial autocorrelation of multispectral satellite data,” in Proc. of the Second International Asia Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 2000, 9-12.

K. E. Kohler, and S.M. Gill, “Coral Point Count with Excel extensions (CPCe): A Visual Basic program for the determination of coral and substrate coverage using random point count methodology,” Computers and Geosciences, vol. 32, no. 9, pp. 1259–1269, 2006.

R. Kenchington and B. Hudson, Coral Reef Management Handbook. UNESCO, 1984.

K. Lam, P.K.S. Shin, R. Bradbeer, D. Randall, K. K. K. Ku. P. Hodgson and S. G. Cheung, “A comparison of video and point intercept transects methods for monitoring subtropical coral communities,” Journal of Experiment Marine Biology and Ecology, vol. 333, no. 1, pp. 115-128, 2006.

M. S. A. C. Marcos, L. T .David, M. N. Soriano, “Area-calibrated automation of coral classification for near and subsurface reef videos,” in Proc. of the 11th International Coral Reef Symposium, 2008, pp. 507-511.

T. Ojala, M. Pietikäinen, and T. Mäenpää, “Multiresolution gray-scale and rotation invariant texture classification with local binary patterns,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 7, pp. 971-987, 2002.

K. N. Plataniotis and A. N. Venetsanopoulos, Color Image Processing and Applications. Springer-Verlag, 18 February 2000.

M. Swain and D. Ballard, “Color indexing,” International Journal of Computer Vision, vol. 7, no. 1, pp.11-32, 1991.

Downloads

Published

2017-10-20

How to Cite

Awalludin, E. A., Hitam, M. S., Hj Wan Yussof, W. N. J., & Bachok, Z. (2017). Classification of Coral Reef Components Using Color and Texture Features. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(3-4), 109–113. Retrieved from https://jtec.utem.edu.my/jtec/article/view/2927

Most read articles by the same author(s)