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Macrozooplankton Image Edge Detection Using Wavelet Packet Decomposition

Journal Advanced Materials Research (Volumes 108 - 111)
Volume Progress in Measurement and Testing
Edited by Yanwen Wu
Pages 44-49
DOI 10.4028/www.scientific.net/AMR.108-111.44
Citation Jing Ying Zhao et al., 2010, Advanced Materials Research, 108-111, 44
Online since May, 2010
Authors Jing Ying Zhao, Hai Guo, Xing Bin Sun
Keywords Image Edge Detection, Macro Zooplankton Image Identification, Wavelet Packet Decomposition, Wavelet Packet Reconstruction
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.

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