DocumentCode :
1723342
Title :
Entropy-Based Similarity Evaluation and Visualization of Cartographic Symbol Sets
Author :
Wang, Florence Ying ; Takatsuka, Masahiro
Author_Institution :
Sch. of IT, Univ. of Sydney, Sydney, NSW, Australia
fYear :
2015
Firstpage :
718
Lastpage :
725
Abstract :
In cartographic symbology, the evaluation of a symbol set´s visual similarity is an important and frequently required task. Usually, after a set of map symbols are designed, the visual similarity of symbols need to be manually examined. To fully automate this task, in this paper, we propose two approaches based on entropy calculated on SOM surface for quantifying and visualizing the visual similarities of cartographic symbol sets. Using our approaches, the visual similarities of multiple symbol sets can be compared efficiently. Apart from evaluating the visual similarities of cartographic symbol sets, both of our methods are also suitable for applications where comparing the visual similarities of multiple image datasets are required.
Keywords :
cartography; entropy; image matching; self-organising feature maps; SOM surface; cartographic symbol sets visualization; cartographic symbology; entropy-based similarity evaluation; multiple image datasets; multiple symbol sets; self-organizing maps; symbol visual similarity; Entropy; Equations; Feature extraction; Mathematical model; Shape; Vectors; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications of Computer Vision (WACV), 2015 IEEE Winter Conference on
Conference_Location :
Waikoloa, HI
Type :
conf
DOI :
10.1109/WACV.2015.101
Filename :
7045955
Link To Document :
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