@inproceedings{1ad93605c59d4ee29a40b38bf4275898,
title = "Visualization enhancement of segmented images using genetic algorithm",
abstract = "The aim of the paper is to present the results of investigations concerning the implementation of pseudocolor visualization algorithm of segmented images, capable to find the color combination producing maximum contrast between the segmented areas. Very often there is a need of visualization of segmentation results and usually they are presented by assigning colors randomly or from predefined palettes, what could decrease the visualization effect, when neighboring regions have assigned similar colors. To alleviate this problem, we propose novel methodology for deriving optimized visualization based on maximizing local distance between colors. In the paper we present visualization results using a new color contrast measure optimized with a genetic algorithm and compare the effectiveness with a greedy algorithm. The proposed method can be used to obtain visually pleasing pseudocolor encoded images of segmentation results which can be useful for the presentation of various kinds of visual information.",
keywords = "colorization, genetic algorithm, segmentation, visualization",
author = "Krystian Radlak and Bogdan Smolka",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 International Conference on Multimedia Computing and Systems, ICMCS 2014 ; Conference date: 14-04-2014 Through 16-04-2014",
year = "2014",
month = sep,
day = "25",
doi = "10.1109/ICMCS.2014.6911269",
language = "English",
series = "International Conference on Multimedia Computing and Systems -Proceedings",
publisher = "IEEE Computer Society",
pages = "391--396",
booktitle = "International Conference on Multimedia Computing and Systems -Proceedings",
address = "United States",
}