Evaluation of color space information for visualization of contamination plumes

被引：6

作者：

Kashuk, Sina ^{[1
]}

Iskander, Magued ^{[1
]}

机构：

[1] NYU, Polytech Sch Engn, Civil & Urban Engn Dept, Brooklyn, NY 11201 USA

来源：

JOURNAL OF VISUALIZATION | 2015年 / 18卷 / 01期

基金：

美国国家科学基金会;

关键词：

Dyes; Calibration; Model; Bench scale; Colorimetry; Image processing; Color; IMAGE SEGMENTATION; POROUS-MEDIA; FLOW; SOIL;

D O I：

10.1007/s12650-014-0232-3

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Relating dye concentration and image information is an important consideration in flow studies which employs a tracer to map plumes of contamination. This study employs color space information to increase the data available for analysis than gray scale commonly employed. The objective of this study is to find a color space in which the relationship between transmitted signal and integrated concentration is quantifiable. In particular, the goal was to correlate the spatial concentration of contamination with color pixel information. For this purpose, a new algorithm was used to identify the best concentration for a number of dyes that can be used as tracers. In addition, the ideal color space component for reconstruction of each dye was determined. The effectiveness of this color classification method was assessed using 10,368 color space component images within the framework of peak signal-to-noise ratio for eight different dyes and six color spaces spanning a concentration ranging from 1 to 2,000 ppm, for eight plume lengths.

引用

页码：121 / 130

页数：10

共 50 条

[21] Fluid interaction for information visualization [J].

Elmqvist, Niklas ;

Moere, Andrew Vande ;

Jetter, Hans-Christian ;

Cernea, Daniel ;

Reiterer, Harald ;

Jankun-Kelly, T. J. .

INFORMATION VISUALIZATION, 2011, 10 (04) :327-340

[22] Flame detection algorithm based on a saliency detection technique with prior information in the YCbCr color space [J].

Liu, Zhao-Guang ;

Yang, Yang ;

Liu, Yun-Xia .

2014 IEEE 7TH JOINT INTERNATIONAL INFORMATION TECHNOLOGY AND ARTIFICIAL INTELLIGENCE CONFERENCE (ITAIC), 2014, :276-279

[23] A region dissimilarity relation that combines feature-space and spatial information for color image segmentation [J].

Makrogiannis, S ;

Economou, G ;

Fotopoulos, S .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2005, 35 (01) :44-53

[24] An Efficient Combination of Texture and Color Information for Watershed Segmentation [J].

Meurie, Cyril ;

Cohen, Andrea ;

Ruichek, Yassine .

IMAGE AND SIGNAL PROCESSING, PROCEEDINGS, 2010, 6134 :147-156

[25] Video based VAD using adaptive color information [J].

Scott, Dario ;

Jung, Claudio R. ;

Bins, Jose ;

Said, Amir ;

Kalker, Antonius .

2009 11TH IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA (ISM 2009), 2009, :80-+

[26] Object recognition method by combining color and depth information [J].

Wu, Xin ;

Wang, Guiying ;

Cong, Yang .

Wu, X. (wx111300@163.com), 2013, Chinese Society of Agricultural Engineering (29) :96-100

[27] Limiting the Search Space during Controls Evaluation of a Modified Information System [J].

Wand, Yair ;

Weber, Ron .

JOURNAL OF INFORMATION SYSTEMS, 2018, 32 (03) :91-111

[28] There is more to color scales than meets the eye: A review on the use of color in visualization [J].

Silva, Samuel ;

Madeira, Joaquim ;

Santos, Beatriz Sousa .

11TH INTERNATIONAL CONFERENCE INFORMATION VISUALIZATION, 2007, :943-+

[29] Color constancy based on local space average color [J].

Ebner, Marc .

MACHINE VISION AND APPLICATIONS, 2009, 20 (05) :283-301

[30] A NOVEL COLOR SPACE BASED ON RGB COLOR BARYCENTER [J].

Zhang, Qieshi ;

Kamata, Sei-ichiro .

2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS, 2016, :1601-1605

← 1 2 3 4 5 →