Research on Segmentation of Protozoan and Metazoan Image in Microscopic Examination of Activated Sludge

Yi Hong Wang

doi:10.4028/www.scientific.net/AMM.448-453.367

Paper Titles

Analysis on Variation Characteristics of Air Pollution Index in Cangzhou
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The Revision Requirements of China's Radiation Environment Monitoring Standard System
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Gas Chromatography Mass Spectrometry Method of Rapid Determination of Trichloroacetaldehyde in Water Optimization
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Research on Sedimentary Environment of the Wayaobao Formation in Ordos Basin
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Research on Segmentation of Protozoan and Metazoan Image in Microscopic Examination of Activated Sludge
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The Remote Metrology of Water Pollution Source Online Monitor Based on 3G Technology
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Speciation Analysis of Heavy Metals in Sludge from a Wastewater Treatment Plant
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Heavy Metal Pollution Characteristics in the Sediment of Elephant Lake in Nanchang City, Jiangxi
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The Impacts of Environmental Characteristics to Groundwater Quality and Influencing Toxicity in Seashore Area
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 448-453Research on Segmentation of Protozoan and Metazoan...

Research on Segmentation of Protozoan and Metazoan Image in Microscopic Examination of Activated Sludge

Abstract:

Monitoring water quality using biological monitoring technology based on microscopic examination of activated sludge, machine vision replaces manual observation. The contrast between target and background is relatively low in the images obtained by automatic electron microscope. It is difficult to accurately distinguish the target and background if single image segmentation method is used. Therefore, the image which is segmented by single image segmentation method will be regarded as the source image, and image fusion is performed on these source images using wavelet transform. The fused image will be regarded as the final segmentation image. The result of experiments shows that using this idea can get better image edge detection effect, and it will provide good technical basis for the next protozoan and metazoan identification and statistics.

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Periodical:

Applied Mechanics and Materials (Volumes 448-453)

Pages:

367-370

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.448-453.367

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Online since:

October 2013

Authors:

Yi Hong Wang

Keywords:

Image Fusion, Image Segmentation, Microscopic Examination, Wavelet Transform (WT)

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