The aim of this paper is to propose a method for automatic segmentation of dashboards so that they can be analyzed using aesthetic by means of metrics. These metrics analyze the properties of the screen objects by region. This method is based on bottom-up segmentation method and creates objects based on proximity. The main result is a faster and more accurate analysis of dashboards, as there is no need to manually segment the image.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:385978 |
| Date | January 2018 |
| Creators | Mejía, Santiago |
| Contributors | Rudnitckaia, Julia, Hynek, Jiří |
| Publisher | Vysoké učení technické v Brně. Fakulta informačních technologií |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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