Paper Info
Title
Robust Design: An Image Analysis Tool For Analyzing Information Loss Caused By Viewers And Environments
Abstract
For the efficient expression of information, graphic designers utilize colors or various combinations of colors. Unfortunately, the information expressed by colors may be lost depending on the characteristics of viewers and environment. This paper presents an image analysis algorithm which informs designers of these information losses and helps them to produce graphic designs that are robust to various situations. The proposed method first generates the simulated model of the design and applies the equivalent segmentation algorithm to the original design and the simulated model. As a result of segmentation, each image is partitioned into several groups. And by measuring the ratio between the number of groups in the original design and that in the simulated model, the information loss can be estimated. With the proposed algorithm, designers can easily perceive that the use of certain colors or combination of colors should be avoided to minimize the information loss.
Year
DOI
Venue
2016
10.1007/978-3-319-40406-6_15
Design, User Experience, and Usability: Technological Contexts, Pt III
Keywords
Field
DocType
Universal design, Information loss measurement, Image segmentation
Computer vision,Information loss,Robust design,Segmentation,Computer science,Universal design,Image segmentation,Artificial intelligence
Conference
Volume
ISSN
Citations 
9748
0302-9743
1
PageRank 
References 
Authors
0.63
0
1
Name
Order
Citations
PageRank
Sung Soo Hwang1144.28