Toward robust image detection of crown-of-thorns starfish for autonomous population monitoring
Clement, Ryan, Dunbabin, Matthew, & Wyeth, Gordon (2005) Toward robust image detection of crown-of-thorns starfish for autonomous population monitoring. In Sammut, Claude (Ed.) Australasian Conference on Robotics and Automation 2005, Australian Robotics and Automation Association Inc, Sydney.
Robust texture recognition in underwater image sequences for marine pest population control such as Crown-Of-Thorns Starfish (COTS) is a relatively unexplored area of research. Typically, humans count COTS by laboriously processing individual images taken during surveys. Being able to autonomously collect and process images of reef habitat and segment out the various marine biota holds the promise of allowing researchers to gain a greater understanding of the marine ecosystem and evaluate the impact of different environmental variables. This research applies and extends the use of Local Binary Patterns (LBP) as a method for texture-based identification of COTS from survey images. The performance and accuracy of the algorithms are evaluated on a image data set taken on the Great Barrier Reef.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Conference Paper|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Adaptive Agents and Intelligent Robotics (080101)|
|Copyright Owner:||Copyright 2005 [please consult the authors]|
|Deposited On:||22 Jun 2010 23:17|
|Last Modified:||10 Aug 2011 13:39|
Repository Staff Only: item control page