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An Effective Generic Lasso Selection Tool for Multiselection

Lie, Ole Magnus
Master thesis
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master thesis (536.2Kb)
URI
https://hdl.handle.net/1956/22873
Date
2020-06-20
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  • Master theses [69]
Abstract
Multiselection is widely available in the graphical user interfaces of common applications, often through rectangular or row-wise selection tools. Lasso selection, though often provided in image manipulation applications, is uncommon in applications of everyday selection tasks. Lasso selection would be a useful addition for many applications. This thesis presents an effective and generic implementation of lasso selection. Its effectiveness is achieved by making the computation incremental: only the elements affected by the extension of the selection path are inspected. The solution is generic, easily reused in new selection contexts.
Publisher
The University of Bergen
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Copyright the Author. All rights reserved

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