An Adaptive Enhancement Algorithm of Materials Bag Image of Industrial Scene

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• 作者：Wei Jia (21)
  Ya Wang (21)
  Yanbin Liu (21)
  Lilue Fan (21)
  Qingqiang Ruan (21)
  
• 关键词：materials bag ; image enhancement ; fuzzy set theory ; hyperbolic tangent function
• 刊名：Lecture Notes in Computer Science
• 出版年：2014
• 出版时间：2014
• 年：2014
• 卷：8918
• 期：1
• 页码：226-238
• 全文大小：1,918 KB
• 参考文献：1. Jia, W., Huang, X., et al.: Moving material bag detection method of a fused five frame difference and Gaussian model. Application of Electronic Technique?39(10), 139-42 (2013)
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• 作者单位：Wei Jia (21)
  Ya Wang (21)
  Yanbin Liu (21)
  Lilue Fan (21)
  Qingqiang Ruan (21)
  
  21. Department of Computer and Information Science, ZunYi Normal College, Zun Yi, 563002, China
  
• ISSN：1611-3349

文摘

In this paper, we proposed an adaptive enhancement algorithm based on fuzzy relaxation. Firstly, the OTSU algorithm is used to classify background and objective, and the crossover points for each pixel are defined by the classification results. Then, the concept of fuzzy contrast based on the image normalization is introduced, and the value of fuzzy contrast is defined as a image contrast feature plane. Secondly, at basis of the fuzzy characteristic of the hyperbolic tangent, a novel membership function is proposed, the crossover points and the adaptive function curve can achieve the best by adjusting the control parameters. Finally, the fuzzy contrast feature plane is mapped to gray level plane using the method of linear transformation. The experiment obtains excellent results which is only one time iteration. The linear transformation reduces the lose of the adjacent materials bag image’s edge information and improves the operational efficiency. The analysis experimentally demonstrates that proposed algorithm is adaptive and the image details also have been preserved.