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The Monitoring Population Density of Pests Based on Edge-enhancing Diffusion Filtering and Image Processing

  • Yuehuan Wang
  • Guirong Weng
Part of the The International Federation for Information Processing book series (IFIPAICT, volume 259)

As is known, agriculture is very important in China, but the problem about pests has hampered the further development of Chinese agriculture. Digital image-processing technology and mathematical morphology are referred to as the main research methods, and tiny pets like aphids among field are referred to as the research objects. Image processing technology such as edgeenhancing diffusion filtering, mathematical morphology and watershed segmentation algorithm is used to monitor pest population density, which greatly raises efficiency of pest data acquisition. After the segmentation of the image of the pests, the number of the insect individuals can be obtained from the background by using image processing technology. Computer image processing technology provides a possibility to solve this problem and becomes a very important direction to monitor regional pest population density.

Keywords

Digital Image-processing Monitoring Population Mathematical Morphology Watershed Algorithm Edge-enhancing filtering 

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Copyright information

© IFIP International Federation for Information Processing 2008

Authors and Affiliations

  • Yuehuan Wang
    • 1
  • Guirong Weng
    • 1
  1. 1.School of Mechanical and Electrical EngineeringSoochow UniversityChina

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