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作者:

Sun Guangmin (Sun Guangmin.) (学者:孙光民) | Ma Haocong (Ma Haocong.) | Zhao Dequn (Zhao Dequn.) | Zhang Fan (Zhang Fan.) | Jia Linan (Jia Linan.) | Sun Junling (Sun Junling.)

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CPCI-S

摘要:

Oil spill may cause serious pollution of the marine environment. Unmanned aerial vehicles remote sensing system can be used to monitor oil spill conditions. In order to identify the oil spill area on aerial image accurately, the first step is oil spill region segmentation. The paper presents an image segmentation method of oil spill area based on fuzzy C-means Algorithm. Firstly, according to the color characteristics of the oil, the paper selects YCbCr color space as the feature space. Then, the paper uses fuzzy clustering algorithm to divide the color feature space. Finally, according to oil color model, the paper selects clustering result as the segmentation results of oil spill area. Experiment show that the proposed algorithm's accuracy for oil region segmentation of calibration attain to 95 percent.

关键词:

color model fuzzy C-means Algorithm Oil aerial image YCbCr color space

作者机构:

  • [ 1 ] [Sun Guangmin]Beijing Univ Technol, Dept Elect Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Ma Haocong]Beijing Univ Technol, Dept Elect Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Zhao Dequn]Beijing Univ Technol, Dept Elect Engn, Beijing 100124, Peoples R China
  • [ 4 ] [Zhang Fan]Beijing Univ Technol, Dept Elect Engn, Beijing 100124, Peoples R China
  • [ 5 ] [Jia Linan]Beijing Univ Technol, Dept Elect Engn, Beijing 100124, Peoples R China
  • [ 6 ] [Sun Junling]Beijing Univ Technol, Dept Elect Engn, Beijing 100124, Peoples R China
  • [ 7 ] [Sun Guangmin]Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China

通讯作者信息:

  • 孙光民

    [Sun Guangmin]Beijing Univ Technol, Dept Elect Engn, Beijing 100124, Peoples R China

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来源 :

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INTELLIGENT COMMUNICATION

ISSN: 2352-538X

年份: 2015

卷: 16

页码: 406-409

语种: 英文

被引次数:

WoS核心集被引频次: 2

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