NDLI: Rotary kiln flame image segmentation based on FCM and gabor wavelet based texture coarseness

Content Provider	IEEE Xplore Digital Library
Author	Peng Sun Tianyou Chaia Xiao-jie Zhou
Copyright Year	2008
Description	Author affiliation: Key Lab. of Integrated Autom. of Process Ind., Minist. of Educ., Shenyang (Peng Sun; Tianyou Chaia; Xiao-jie Zhou)
Abstract	Presents an improved segmentation algorithm for flame image of rotary kiln burning zone, based on Gabor wavelet based texture coarseness and Fuzzy C-MEANS (FCM) cluster algorithm. At first, analyses the flame image in detail, divides it into four areas (flame area, material area, illuminated area, background area) by expert experiences and applies threshold segmentation in order to get rid of background area from flame image. Then carries out general FCM algorithm with grey level of grey flame image and gets a preliminary membership matrix, calculates texture coarseness of the flame image by Gabor wavelet texture filters. At last performs Defuzzification operation on the above membership matrix based on the differences of texture coarseness between material area and flame area to exactly separate material area and flame area from the original flame image. Experiments have proven the validity of this new segmentation algorithm for flame image.
Starting Page	7615
Ending Page	7620
File Size	188347
Page Count	6
File Format	PDF
ISBN	9781424421138
DOI	10.1109/WCICA.2008.4594586
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fires Image segmentation Materials Mathematical model Kilns Equations Pixel image segmentation gabor wavelet filters texture coarseness FCM (Fuzzy C-MEANS) Defuzzification
Content Type	Text
Resource Type	Article

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