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The resin lens flaw feature extraction and detection system based on data transmission security.

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Název: The resin lens flaw feature extraction and detection system based on data transmission security.
Autoři: Wang, Hongmin, Zhu, Hongzhao, Xue, Ping, Zhu, Xiaohui
Zdroj: Multimedia Tools & Applications; Jul2018, Vol. 77 Issue 14, p18483-18501, 19p
Témata: DATA security, DATA transmission systems, BOUNDARY value problems, INFORMATION sharing, DATA encryption
Abstrakt: Data security and privacy have become a problem which people pay more attention to. In the process of feature extraction and detection of lens defects, the security of data transmission becomes more and more important. This paper according to the characteristics of the lens defect extraction method is studied and discussed through a single scan of the two boundary value of graphics and images, without the need to fill the region, does not need the help of chain codes statistical region number and boundary information. According to the established balanced binary search tree, the area and perimeter of each defect were calculated. This method works fast, and it needs only small amount of calculation; it can suppress noise better and accurate. This paper combines the detection of networking and information exchange, in order to ensure the normal lens defects in feature extraction efficiency. And comparing several encryption algorithms in the data transmission process, selecting the best storage and encryption technology to ensure data security and improve the security of the system. [ABSTRACT FROM AUTHOR]
Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Databáze: Complementary Index
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  Label: Title
  Group: Ti
  Data: The resin lens flaw feature extraction and detection system based on data transmission security.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Hongmin%22">Wang, Hongmin</searchLink><br /><searchLink fieldCode="AR" term="%22Zhu%2C+Hongzhao%22">Zhu, Hongzhao</searchLink><br /><searchLink fieldCode="AR" term="%22Xue%2C+Ping%22">Xue, Ping</searchLink><br /><searchLink fieldCode="AR" term="%22Zhu%2C+Xiaohui%22">Zhu, Xiaohui</searchLink>
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  Data: Multimedia Tools & Applications; Jul2018, Vol. 77 Issue 14, p18483-18501, 19p
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  Data: <searchLink fieldCode="DE" term="%22DATA+security%22">DATA security</searchLink><br /><searchLink fieldCode="DE" term="%22DATA+transmission+systems%22">DATA transmission systems</searchLink><br /><searchLink fieldCode="DE" term="%22BOUNDARY+value+problems%22">BOUNDARY value problems</searchLink><br /><searchLink fieldCode="DE" term="%22INFORMATION+sharing%22">INFORMATION sharing</searchLink><br /><searchLink fieldCode="DE" term="%22DATA+encryption%22">DATA encryption</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Data security and privacy have become a problem which people pay more attention to. In the process of feature extraction and detection of lens defects, the security of data transmission becomes more and more important. This paper according to the characteristics of the lens defect extraction method is studied and discussed through a single scan of the two boundary value of graphics and images, without the need to fill the region, does not need the help of chain codes statistical region number and boundary information. According to the established balanced binary search tree, the area and perimeter of each defect were calculated. This method works fast, and it needs only small amount of calculation; it can suppress noise better and accurate. This paper combines the detection of networking and information exchange, in order to ensure the normal lens defects in feature extraction efficiency. And comparing several encryption algorithms in the data transmission process, selecting the best storage and encryption technology to ensure data security and improve the security of the system. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: BOUNDARY value problems
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      – SubjectFull: DATA encryption
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              Text: Jul2018
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