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Author Miranda, G. ♦ Lisboa, A. ♦ Vieira, D. ♦ Queiroz, F. ♦ Nascimento, C.
Sponsorship IEEE Ind. Electron. Soc.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2014
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Applied physics
Subject Keyword Histograms ♦ Image color analysis ♦ Databases ♦ Feature extraction ♦ Space exploration ♦ smoke detection ♦ Labeling ♦ feature selection ♦ Principal component analysis
Abstract This work presents a color feature selection for white smoke detection in a day light. This scenario was chosen since this work was applied to environmental conditions. Firstly, a manual segmentation of real world images is made such a way to define the colors associated with the white smoke. A set of 1,106,340 samples was defined. Secondly, a set of 29 features created from several color models were extracted. After that, the margin samples were selected based on the margin criteria, achieving a final set of 4,860 samples. Finally, the channels of the color models were ranked by relevance for the development of smoke classification models using the Relief feature selection.
Description Author affiliation: ENACOM Handcrafted Technol., Belo Horizonte, Brazil (Miranda, G.; Lisboa, A.; Vieira, D.) || CEMIG, Belo Horizonte, Brazil (Queiroz, F.; Nascimento, C.)
ISBN 9781479949052
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-07-27
Publisher Place Brazil
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 787.15 kB
Page Count 6
Starting Page 31
Ending Page 36


Source: IEEE Xplore Digital Library