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  • 标题:Intelligent Image Segment for Material Composition Detection
  • 本地全文:下载
  • 作者:Xiaodan Liang ; Xiaodan Liang ; Na Lin
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2017
  • 卷号:100
  • 页码:1-6
  • DOI:10.1051/matecconf/201710004026
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要: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.
  • 关键词:Image segment;artificial bee colony;material composition detection
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