DSpace Repository

Automating aquatic insect identification through pattern recognition

Show simple item record

dc.contributor Paasch, Robert K.
dc.contributor Zaworski, Joseph
dc.contributor Kennedy, Timothy
dc.contributor Yamamuro, Jerry
dc.date 2006-08-28T22:53:25Z
dc.date 2006-08-28T22:53:25Z
dc.date 2006-07-26
dc.date 2006-08-28T22:53:25Z
dc.date.accessioned 2013-10-16T07:39:49Z
dc.date.available 2013-10-16T07:39:49Z
dc.date.issued 2013-10-16
dc.identifier http://hdl.handle.net/1957/2985
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1957/2985
dc.description Graduation date: 2007
dc.description Aquatic insect population counts can be a good indicator of the health, or water quality, of rivers and streams. Stoneflies (Plecoptera) are particularly susceptible to pollution in streams. However, today’s current method for obtaining these population counts requires biologists to examine individual specimens under a microscope for identification to the species level. This manual method has proven to be a cumbersome and inefficient way to monitor stream and river health. In response, an aquatic insect imaging device was designed, constructed and tested in an attempt to speed and automate the process of insect identification. The device was specifically designed to handle various species of stoneflies immersed in a fluid medium. Orientation methods are incorporated to acquire appropriate digital images useful for pattern recognition. This project suggests an alternative method for aquatic insect identification that could lead to more efficient biomonitoring.
dc.language en_US
dc.subject stoneflies
dc.subject pattern recognition
dc.subject digital imaging
dc.subject mechanical device
dc.title Automating aquatic insect identification through pattern recognition
dc.type Thesis


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account