• Zhihua Diao
  • Chunjiang Zhao
  • Gang Wu
  • Xiaojun Qiao
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 294)


Mathematical morphology is a non-linear image processing method with twodimensional convolution operation, including binary morphology, gray-level morphology and color morphology. Erosion, dilation, opening operation and closing operation are the basis of mathematical morphology. Mathematical morphology can be used for edge detection, image segmentation, noise elimination, feature extraction and other image processing problems. It has been widely used in the field of image processing. Based on the current progress, this thesis gives a comprehensive expatiation on the mathematical morphology classification and application of crop disease recognition. In the end, open problems and the further research of mathematical morphology are discussed.


Image Segmentation Edge Detection Mathematical Morphology Edge Detection Algorithm Edge Detection Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Zhihua Diao
    • 1
  • Chunjiang Zhao
    • 2
  • Gang Wu
    • 1
  • Xiaojun Qiao
    • 2
  1. 1.Department of AutomationUniversity of Science and Technology of ChinaHeFeiChina
  2. 2.National Engineering Research Center for Information Technology in AgricultureBeijingChina

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