Macrozooplankton Image Edge Detection Using Wavelet Packet Decomposition

Author:

Zhao Jing Ying1,Guo Hai1,Sun Xing Bin2

Affiliation:

1. University of Dalian Nationalities

2. Northeast Forestry University

Abstract

Comparing with the phytoplankton, there are few researches on zooplanktons. Now, many waterworks don’t monitor the zooplanktons in source water. There isn’t effective detection method for several common macro zooplanktons such as chironomid larvae, cyclops and so on, and little has been done in the field of the macro zooplanktons automatic identification and monitor. This paper puts for forward a macrozooplankton edge detection method based on wavelet packet decomposition and reconstruction. We erase the high frequency parts by applying wavelet packet decomposition in the original images and then detect the edge of reconstruction images using the common edge detectors such as Prewitt, Sobel, Roberts, Laplacian of Gaussion, Canny and so on. The experimental results show that the edge detection methods in the reconstruction image work better than in the original image.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference20 articles.

1. Sun Xing-Bin, Cui Fu-Yi. Inactivation Of Chironomid Larvae With Ozone: Water Science and Technology: Water Supply Vol. 8 (2008), pp.355-361.

2. Sun Xing-Bin, Cui Fu-Yi. Study Of Killing And Removal On Chironomid Larvae With Oxidants In Water Treatment System: Journal of Harbin Institute of Technology Vol. 39 (2007), pp.242-245.

3. Sun Xing-Bin, Cui Fu-Yi. Inactivation of Chironomid larvae with chlorine dioxide: Journal of Hazardous Materials Vol. 142 (2007), pp.348-353.

4. Ghiasi Shirazi Sayed Kamaledin, Safabakhsh, Reza. Omnidirectional edge detection: Computer Vision and Image Understanding Vol. 113 (2009), pp.556-564.

5. M.G. Almeida. Two-Dimensional Complementary Filter Bank in the Wavelet Representation Context: Theory, Design and Applications. University of Pittsburgh (1994).

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