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Comparing Image-based Methods for Assessing Visual Clutter in Generalized Maps : Volume Ii-3/W5, Issue 1 (19/08/2015)

By Touya, G.

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Book Id: WPLBN0004013900
Format Type: PDF Article :
File Size: Pages 7
Reproduction Date: 2015

Title: Comparing Image-based Methods for Assessing Visual Clutter in Generalized Maps : Volume Ii-3/W5, Issue 1 (19/08/2015)  
Author: Touya, G.
Volume: Vol. II-3/W5, Issue 1
Language: English
Subject: Science, Isprs, Annals
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2015
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: copernicus

Citation

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Dumont, M., Touya, G., Lalanne, M., & Decherf, B. (2015). Comparing Image-based Methods for Assessing Visual Clutter in Generalized Maps : Volume Ii-3/W5, Issue 1 (19/08/2015). Retrieved from http://worldpubliclibrary.org/


Description
Description: COGIT, IGN, 94165 Saint-Mandé, France. Map generalization abstracts and simplifies geographic information to derive maps at smaller scales. The automation of map generalization requires techniques to evaluate the global quality of a generalized map. The quality and legibility of a generalized map is related to the complexity of the map, or the amount of clutter in the map, i.e. the excessive amount of information and its disorganization. Computer vision research is highly interested in measuring clutter in images, and this paper proposes to compare some of the existing techniques from computer vision, applied to generalized maps evaluation. Four techniques from the literature are described and tested on a large set of maps, generalized at different scales: edge density, subband entropy, quad tree complexity, and segmentation clutter. The results are analyzed against several criteria related to generalized maps, the identification of cluttered areas, the preservation of the global amount of information, the handling of occlusions and overlaps, foreground vs background, and blank space reduction.

Summary
COMPARING IMAGE-BASED METHODS FOR ASSESSING VISUAL CLUTTER IN GENERALIZED MAPS

 

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