• DocumentCode
    1673530
  • Title

    Research on Wavelet Analysis in Target Detection Based on Bionic Vision Model

  • Author

    He, Bin ; Yu, Peng

  • Author_Institution
    Electron. & Inf. Eng. Coll., Tongji Univ., Shanghai
  • fYear
    2008
  • Firstpage
    2512
  • Lastpage
    2515
  • Abstract
    HVS (Human vision system) has the advantages in multi-resolution, target tracking, rapid feature extraction. In this paper, we analyze vision projection model and contrast sensitivity function of the human vision first, then analyze and compare the biological characteristics of human vision and the characteristics of the wavelet algorithm. And we design the method to build the bionic vision system. Through the research on improvement of wavelet algorithm realize the target image edge detection. We choose running ants as our target, and catch different images of its different states for the image tracking, to simulate the human vision function. To lay a foundation for the further development of the bionic vision system based on wavelet algorithm, also to presents a new way of thinking.
  • Keywords
    biocybernetics; edge detection; feature extraction; image resolution; target tracking; vision; wavelet transforms; ant image processing; bionic vision model; contrast sensitivity function; human vision biological characteristics; human vision function simulation; rapid feature extraction; target image edge detection; target tracking; vision projection model; wavelet algorithm characteristics; wavelet analysis; Algorithm design and analysis; Biological system modeling; Design methodology; Feature extraction; Humans; Image edge detection; Machine vision; Object detection; Target tracking; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1747-6
  • Electronic_ISBN
    978-1-4244-1748-3
  • Type

    conf

  • DOI
    10.1109/ICBBE.2008.961
  • Filename
    4535841