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Article Navigation >  Journal of University of Electronic Science and Technology of China  > 2007  >  36(4): 801-804

GE Sen, HUANG Da-gui. Machine Part Image Recognition by Using Maximization of Mutual Information[J]. Journal of University of Electronic Science and Technology of China, 2007, 36(4): 801-804.
Citation: GE Sen, HUANG Da-gui. Machine Part Image Recognition by Using Maximization of Mutual Information[J]. Journal of University of Electronic Science and Technology of China, 2007, 36(4): 801-804.
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Machine Part Image Recognition by Using Maximization of Mutual Information

  • 1.

    School of Mechatronics Engineering,University of Electronic Science and Technology of China Chengdu 610054

  • Received Date: 2005-06-26
  • Publish Date: 2006-08-15
  • A new approach to the problem of machine part image recognition is proposed by using maximization of mutual information. The method applies entropy to measure image feature, combined with color information and local shape information, and uses mutual information as a new matching criterion between the images for image recognition. This method solves the problem that histogram algorithm can not represent the spatial information. This method not only has the feature of translation invariant, but also avoids image segmentation which may lead to a complex calculation, so it can be realized easily. The result shows that proposed approach is accuracy, stability, and reliability in the processing of machine part image recognition.
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  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

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Machine Part Image Recognition by Using Maximization of Mutual Information

  • 1. School of Mechatronics Engineering,University of Electronic Science and Technology of China Chengdu 610054
  • Received Date: 2005-06-26
  • Publish Date: 2006-08-15

Abstract: A new approach to the problem of machine part image recognition is proposed by using maximization of mutual information. The method applies entropy to measure image feature, combined with color information and local shape information, and uses mutual information as a new matching criterion between the images for image recognition. This method solves the problem that histogram algorithm can not represent the spatial information. This method not only has the feature of translation invariant, but also avoids image segmentation which may lead to a complex calculation, so it can be realized easily. The result shows that proposed approach is accuracy, stability, and reliability in the processing of machine part image recognition.

GE Sen, HUANG Da-gui. Machine Part Image Recognition by Using Maximization of Mutual Information[J]. Journal of University of Electronic Science and Technology of China, 2007, 36(4): 801-804.
Citation: GE Sen, HUANG Da-gui. Machine Part Image Recognition by Using Maximization of Mutual Information[J]. Journal of University of Electronic Science and Technology of China, 2007, 36(4): 801-804.
shu

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