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Remote Viewing Image Mosaic based on Fuzzy Cellular Automata Corner Detection in Substation

원문정보

초록

영어

In order to improve the effect of remote video monitoring system, a new image mosaic technology based on fuzzy cellular automata corner detection is presented. Firstly, the edge feature points from two images are extracted by fuzzy cellular automata; secondly the corner feature points are extracted by corner detection method based on geometry feature of corner; thirdly, the corresponding feature point pairs are got by the cross-correlation of the gray scale around the corner feature points; finally the images can be stitched by matched corner feature point pairs. The experiment of remote viewing image mosaic in substation shows that this method can achieve image mosaic effectively and it will be benefit to improve the safety and reliability of substation operation.

목차

Abstract
 1. Introduction
 2. Edge Detection based on Fuzzy Cellular Automata
  2.1. Cellular Automata
  2.2. Direction Information Measure
  2.3. Edge Order Measure
  2.4. Fuzzy Rule and Fuzzy Measure
  2.5. Anti-fuzzy
  2.6. Rules of fuzzy CA model
 3. Corner Detection Method based on Geometry Feature of Corner
 4. Image Mosaic based on Corner Points
 5. Experiment of Image Mosaic
 6. Conclusion
 References

저자정보

  • LI Jing Electronic Department, Henan Mechaniacal and Electrical Engineering College,China

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