Volume 6 Number 3 (Mar. 2011)
Home > Archive > 2011 > Volume 6 Number 3 (Mar. 2011) >
JSW 2011 Vol.6(3): 428-435 ISSN: 1796-217X
doi: 10.4304/jsw.6.3.428-435

Automatic Identification of Diatoms with Circular Shape using Texture Analysis

Qiaoqi Luo1, Yahui Gao2, Jinfei Luo2, Changping Chen2, Junrong Liang2, Chenhui Yang2
1Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems Xiamen University, Xiamen, China
2Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems and School of Life Sciences, Xiamen University, Xiamen, China

Abstract—Diatoms are unicellular microscopic algae found in practically any moist environment. Identification of diatom has application in many disciplines, including ecology, archaeology and forensic science. In recent years, the work has been undertaken for automatic identification of diatom. However, the diatom with circular shape has not yet been considered as the uttermost goal of the research. In this research, a method based on texture feature for automatic identification of circular diatom images is presented. We aimed in this research to find the exact location of diatom by using the image segmentation and segmentation adjustment first, and then obtain eigenvectors by Fourier spectrum features, and finally use a BP neural network to effectively classify the diatoms with circular shape. With classification carried out using a BP neural network we attained 94.4% accuracy from a set of image containing twelve spieces of circular diatom. These species include mainly: Coscinodiscus oculatus (Fauv.) Petit, Coscinodiscus kuetzingii A. Schmidt, Coscinodiscus radiatus Ehrenberg, Coscinodiscus asteromphalus var. asteromphalus Ehrenberg, Coscinodiscus excentricus Ehrenberg, Coscinodiscus curvatulus var. curvatulus Grunow, Coscinodiscus wittianus Pantocsek, Arachnoidiscus Bailey, Cyclotella Kutzing, Actinoptyclrus Ehrenberg, Actinocyclus Ehrenberg, Hyalodiscus Ehrenberg. The result is an effective attempt of circular diatom identification based on texture character.

Index Terms—circular diatom; microscopical image; automatic identification; texture analysis; segmentation adjustment; fourier spectrum; neural network;


Cite: Qiaoqi Luo, Yahui Gao, Jinfei Luo, Changping Chen, Junrong Liang, Chenhui Yang, "Automatic Identification of Diatoms with Circular Shape using Texture Analysis," Journal of Software vol. 6, no. 3, pp. 428-435, 2011.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly 
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
  • Apr 26, 2021 News!

    Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec)     [Click]

  • Nov 18, 2021 News!

    Papers published in JSW Vol 16, No 1- Vol 16, No 6 have been indexed by DBLP   [Click]

  • Dec 24, 2021 News!

     Vol 15, No 1- Vol 15, No 6 has been indexed by IET-(Inspec)   [Click]

  • Nov 18, 2021 News!

    [CFP] 2022 the annual meeting of JSW Editorial Board, ICCSM 2022, will be held in Rome, Italy, July 21-23, 2022   [Click]

  • Jul 26, 2022 News!

     Vol 17, No 5 has been published with online version     [Click]