Intelligent Image Segment for Material Composition Detection

Intelligent Image Segment for Material Composition Detection

In the process of material composition detection, the image analysis is an inevitable problem. Multilevel thresholding based OTSU method is one of the most popular image segmentation techniques. How, with the increase of the number of thresholds, the computing time increases exponentially. To overco...

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Bibliographic Details
Main Authors: Liang Xiaodan, Lin Na, Chen Hanning, Liu Wenxin
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:MATEC Web of Conferences
Subjects:
Image segment
artificial bee colony
material composition detection
Online Access:https://doi.org/10.1051/matecconf/201710004026
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spelling doaj-8b225d23effb4693ace6eed0079773242021-03-02T09:24:03ZengEDP SciencesMATEC Web of Conferences2261-236X2017-01-011000402610.1051/matecconf/201710004026matecconf_gcmm2017_04026Intelligent Image Segment for Material Composition DetectionLiang Xiaodan0Lin Na1Chen Hanning2Liu Wenxin3Tianjin Polytechnic UniversityBeijing Shenzhou Aerospace Software Technology Co. Ltd.Tianjin Polytechnic UniversityDepartment of Electrical and Computer Engineering, Lehigh UniversityIn the process of material composition detection, the image analysis is an inevitable problem. Multilevel thresholding based OTSU method is one of the most popular image segmentation techniques. How, with the increase of the number of thresholds, the computing time increases exponentially. To overcome this problem, this paper proposed an artificial bee colony algorithm with a two-level topology. This improved artificial bee colony algorithm can quickly find out the suitable thresholds and nearly no trap into local optimal. The test results confirm it good performance.https://doi.org/10.1051/matecconf/201710004026Image segmentartificial bee colonymaterial composition detection
collection DOAJ
language English
format Article
sources DOAJ
author Liang Xiaodan
Lin Na
Chen Hanning
Liu Wenxin
spellingShingle Liang Xiaodan
Lin Na
Chen Hanning
Liu Wenxin
Intelligent Image Segment for Material Composition Detection
MATEC Web of Conferences
Image segment
artificial bee colony
material composition detection
author_facet Liang Xiaodan
Lin Na
Chen Hanning
Liu Wenxin
author_sort Liang Xiaodan
title Intelligent Image Segment for Material Composition Detection
title_short Intelligent Image Segment for Material Composition Detection
title_full Intelligent Image Segment for Material Composition Detection
title_fullStr Intelligent Image Segment for Material Composition Detection
title_full_unstemmed Intelligent Image Segment for Material Composition Detection
title_sort intelligent image segment for material composition detection
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2017-01-01
description In the process of material composition detection, the image analysis is an inevitable problem. Multilevel thresholding based OTSU method is one of the most popular image segmentation techniques. How, with the increase of the number of thresholds, the computing time increases exponentially. To overcome this problem, this paper proposed an artificial bee colony algorithm with a two-level topology. This improved artificial bee colony algorithm can quickly find out the suitable thresholds and nearly no trap into local optimal. The test results confirm it good performance.
topic Image segment
artificial bee colony
material composition detection
url https://doi.org/10.1051/matecconf/201710004026
work_keys_str_mv AT liangxiaodan intelligentimagesegmentformaterialcompositiondetection
AT linna intelligentimagesegmentformaterialcompositiondetection
AT chenhanning intelligentimagesegmentformaterialcompositiondetection
AT liuwenxin intelligentimagesegmentformaterialcompositiondetection
_version_ 1724239535025422336

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