首頁 > 網路資源 > 大同大學數位論文系統

Title page for etd-0817105-100605


URN etd-0817105-100605 Statistics This thesis had been viewed 2476 times. Download 9 times.
Author Jr-Kai Chen
Author's Email Address No Public.
Department Electrical Engineering
Year 2004 Semester 2
Degree Master Type of Document Master's Thesis
Language English Page Count 47
Title IMAGE RECOGNITION STUDY VIA THE NEURAL FUZZY SYSTEM
Keyword
  • IMAGE RECOGNITION
  • IMAGE RECOGNITION
  • Abstract In this thesis, an omnidirectional vision system is utilized to provide the soccer robot with a locating capability for dealing with the image process control. By means of the digital image processing techniques and the neural fuzzy system, the ball-shapes and the image color could be located and recognized. In order to obtain the scene that surrounds robot , the panoramic image is installed by matching the convex mirror and CCD lens. The neural fuzzy system that combines both the neural network and fuzzy logic technique is a five-layer network configuration, which includes the input layer, the layer of input membership functions, the layer of fuzzy rules, the layer of output membership functions, and the output layer. The experimental results are given to illustrate the effectiveness of the neural fuzzy system on ball locating and image color recognition.
    Advisor Committee
  • Hung-Ching Lu - advisor
  • Cheng-Hung Tsai - co-chair
  • Ta-Hsiung Hung - co-chair
  • Files indicate in-campus access only
    Date of Defense 2005-07-19 Date of Submission 2005-08-17


    Browse | Search All Available ETDs