Show simple item record

dc.contributor.advisor Premaratne U
dc.contributor.author Wimalaratne DRSK
dc.date.accessioned 2019
dc.date.available 2019
dc.date.issued 2019
dc.identifier.citation Wimalaratne, D.R.S.K. (2019). Jvalue based biomass and growth rate estimation of Duckweed [Master’s theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.mrt.ac.lk/handle/123/15980
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/15980
dc.description.abstract Duckweeds are known as Lemnaceae, comes under the family of small aquatic plants which grows forming a mat covering the surface of the water. Worldwide duckweeds are used as an effective wastewater treatment through conventional methods. These natural green plants remove the excess amount of nutrient or pollutants from the water body and maintain sustainable environmental conditions. Spirodela polyrhiza, Lemna minor and Azolla pinnata are some of the most popular duckweeds used in phytoremediation. Depending on the growing environment, these plants has ability to reproduce rapidly. Rapid growth of duckweeds leads to dysfunction of water bodies and caused other problems. Because of that it is important to monitor the growth rate to control the growth and to avoid an excess duckweed. Traditional method of monitoring the growth rate by manually is laborious and time consuming. Automation of growth rate monitoring is important mostly for duckweed cultivation, modeling of waste water stabilization ponds and among researches. Vision based image processing, used here to automate the growth rate monitoring of duckweeds. For that images of three plants were collected by capturing images from a camera once a two days. In this research two methods were used to estimate the green layer of the three plants Spirodela polyrhiza, Lemna minor and Azolla pinnata. Here the biomass estimation of small fronded aquatic plants is performed by identifying the regions with texture using J- value which is homogeneity measure used in JSEG algorithm. To compare the accuracy alternative Green layer extraction (GLE) method was used. The colour appearance of the surface of the three plants depends on light level, material properties, quality of the images and the view point. For each plant, it was done the green layer detection under two methods with three illuminance levels. Results were verified with the ground truth. According to the results, it was calculated and compared the accuracy percentages and error percentages of two methods in different three illuminance levels. The mean accuracy under normal illumination for the proposed JVT method is Spirodela polyrhiza is 85%, for Lemna minor 82.93% and 83.71 % for Azolla pinnata. Furthermore, JVT method is robust enough to deal with different illuminance levels. en_US
dc.language.iso en en_US
dc.subject ELECTRONIC AND TELECOMMUNICATION ENGINEERING-Dissertations en_US
dc.subject ELECTRONICS AND AUTOMATION-Dissertations en_US
dc.subject JSEG ALGORITHM-J-Values en_US
dc.subject IMAGE PROCESSING-Applications en_US
dc.subject WATER TREATMENT-Chemicals Removal en_US
dc.subject WATER TREATMENT-Duckweeds en_US
dc.title Jvalue based biomass and growth rate estimation of Duckweed en_US
dc.type Thesis-Full-text en_US
dc.identifier.faculty Engineering en_US
dc.identifier.degree MSc in Electronic and Automation Engineering en_US
dc.identifier.department Department of Electronic and Telecommunication Engineering en_US
dc.date.accept 2019
dc.identifier.accno TH3915 en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record